Triple
T8091156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neal Dodson |
E188864
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Lightkeepers
The Lightkeepers is a film produced by Neal Dodson, best known as an independent producer of character-driven dramas and genre movies.
|
E710618
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Lightkeepers | Statement: [Neal Dodson, notableWork, The Lightkeepers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lightkeepers Context triple: [Neal Dodson, notableWork, The Lightkeepers]
-
A.
The Light
The Light is a work by author W. Jeffrey, likely a novel or story centered on themes of illumination, revelation, or spiritual insight.
-
B.
The Light
The Light is a notable work by the rapper Common, showcasing his introspective lyricism and soulful, jazz-influenced hip-hop style.
-
C.
The Light
The Light is a chapter or section within the novel "Like Water for Chocolate," contributing to its blend of magical realism, romance, and culinary symbolism.
-
D.
House of Light
House of Light is a celebrated poetry collection by Mary Oliver that reflects her signature meditative focus on nature, spirituality, and the inner life.
-
E.
Trail of Lights
Trail of Lights is a large annual holiday lights festival in Austin, Texas, featuring elaborate light displays, themed attractions, and seasonal entertainment.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Lightkeepers Triple: [Neal Dodson, notableWork, The Lightkeepers]
Generated description
The Lightkeepers is a film produced by Neal Dodson, best known as an independent producer of character-driven dramas and genre movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Lightkeepers Target entity description: The Lightkeepers is a film produced by Neal Dodson, best known as an independent producer of character-driven dramas and genre movies.
-
A.
The Light
The Light is a work by author W. Jeffrey, likely a novel or story centered on themes of illumination, revelation, or spiritual insight.
-
B.
The Light
The Light is a notable work by the rapper Common, showcasing his introspective lyricism and soulful, jazz-influenced hip-hop style.
-
C.
The Light
The Light is a chapter or section within the novel "Like Water for Chocolate," contributing to its blend of magical realism, romance, and culinary symbolism.
-
D.
House of Light
House of Light is a celebrated poetry collection by Mary Oliver that reflects her signature meditative focus on nature, spirituality, and the inner life.
-
E.
Trail of Lights
Trail of Lights is a large annual holiday lights festival in Austin, Texas, featuring elaborate light displays, themed attractions, and seasonal entertainment.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421fb8348190b6495394d498d3f4 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc640dbab881908a8142ac472f3408 |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc651e3b4c81908408c9f08eca8e09 |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc69531a3c8190b712b3df6beefb7b |
completed | April 1, 2026, 12:39 a.m. |
Created at: March 30, 2026, 5:29 p.m.