Triple
T8091166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neal Dodson |
E188864
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Nest
"The Nest" is a film produced by Neal Dodson, best known as a psychological thriller about a family unraveling under mounting tension and secrets.
|
E710623
|
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 Nest | Statement: [Neal Dodson, notableWork, The Nest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Nest Context triple: [Neal Dodson, notableWork, The Nest]
-
A.
The Nest
The Nest is an indoor sports arena that serves as the home venue for the Hornets basketball team.
-
B.
Nest
Nest is a smart home technology company best known for its internet-connected thermostats, security cameras, and other home automation products.
-
C.
The Old Nest
The Old Nest is a 1921 American silent drama film in which actor Cullen Landis played a prominent role.
-
D.
The Egg
The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
-
E.
The Egg
The Egg is a modern, student-centered dining and learning facility at the Culinary Institute of America’s Hyde Park campus that showcases culinary education in a real-world restaurant environment.
- 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 Nest Triple: [Neal Dodson, notableWork, The Nest]
Generated description
"The Nest" is a film produced by Neal Dodson, best known as a psychological thriller about a family unraveling under mounting tension and secrets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Nest Target entity description: "The Nest" is a film produced by Neal Dodson, best known as a psychological thriller about a family unraveling under mounting tension and secrets.
-
A.
The Nest
The Nest is an indoor sports arena that serves as the home venue for the Hornets basketball team.
-
B.
Nest
Nest is a smart home technology company best known for its internet-connected thermostats, security cameras, and other home automation products.
-
C.
The Old Nest
The Old Nest is a 1921 American silent drama film in which actor Cullen Landis played a prominent role.
-
D.
The Egg
The Egg is a modern, student-centered dining and learning facility at the Culinary Institute of America’s Hyde Park campus that showcases culinary education in a real-world restaurant environment.
-
E.
The Egg
The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
- 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.