Triple
T20113465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giants series |
E490391
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Duncan Watt
Duncan Watt is the central protagonist of the "Giants" series, around whom the main narrative and key events revolve.
|
E1416534
|
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: Duncan Watt | Statement: [Giants series, mainCharacter, Duncan Watt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duncan Watt Context triple: [Giants series, mainCharacter, Duncan Watt]
-
A.
Duncan Mills
Duncan Mills is a music producer and mixer known for his work with a range of indie and alternative artists.
-
B.
Duncan Chalk
Duncan Chalk is a powerful, manipulative media magnate in Robert Silverberg’s science fiction novel "Thorns," known for exploiting others’ pain for entertainment.
-
C.
Duncan Clark
Duncan Clark is a writer and analyst best known for co-authoring the climate change book "The Burning Question."
-
D.
Ed Macauley
Ed Macauley was an American Hall of Fame basketball player and early NBA star known for his scoring, versatility, and success with teams like the Boston Celtics and St. Louis Hawks.
-
E.
Duncan Taylor
Duncan Taylor is a central character in the science-fiction disaster film "Geostorm," involved in confronting a global climate-control satellite crisis.
- 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: Duncan Watt Triple: [Giants series, mainCharacter, Duncan Watt]
Generated description
Duncan Watt is the central protagonist of the "Giants" series, around whom the main narrative and key events revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duncan Watt Target entity description: Duncan Watt is the central protagonist of the "Giants" series, around whom the main narrative and key events revolve.
-
A.
Duncan Mills
Duncan Mills is a music producer and mixer known for his work with a range of indie and alternative artists.
-
B.
Duncan Chalk
Duncan Chalk is a powerful, manipulative media magnate in Robert Silverberg’s science fiction novel "Thorns," known for exploiting others’ pain for entertainment.
-
C.
Duncan Clark
Duncan Clark is a writer and analyst best known for co-authoring the climate change book "The Burning Question."
-
D.
Ed Macauley
Ed Macauley was an American Hall of Fame basketball player and early NBA star known for his scoring, versatility, and success with teams like the Boston Celtics and St. Louis Hawks.
-
E.
Duncan Taylor
Duncan Taylor is a central character in the science-fiction disaster film "Geostorm," involved in confronting a global climate-control satellite crisis.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e31af081908d8e0c867c388a73 |
completed | April 20, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c678fe4819083c1fd082ab39925 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083e28354c8190886a2e952bd33897 |
completed | May 16, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083ef99dd88190b4030dcdf80cbb85 |
completed | May 16, 2026, 9:55 a.m. |
Created at: April 11, 2026, 11:29 p.m.