Triple
T20212163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren Naish |
E493514
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object |
Paul Barrett
Paul Barrett is a British paleontologist known for his research on dinosaur evolution and taxonomy, particularly ornithischian dinosaurs, and his work at the Natural History Museum in London.
|
E1420041
|
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: Paul Barrett | Statement: [Darren Naish, hasCollaboratedWith, Paul Barrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Barrett Context triple: [Darren Naish, hasCollaboratedWith, Paul Barrett]
-
A.
Sam Barrington
Sam Barrington is an American former NFL linebacker who played primarily for the Green Bay Packers after a standout college career at the University of South Florida.
-
B.
John Barrett
John Barrett was an actor who appeared in the 1978 animated film adaptation of "The Water Babies."
-
C.
Tony Barrett
Tony Barrett is a fictional character appearing in the film "The Wedding Night."
-
D.
Philip Barrett
Philip Barrett was the husband of Scottish-American actress Eileen Herlie, known primarily in relation to her career on stage and screen.
-
E.
Phil Garrod
Phil Garrod is a composer best known for creating energetic, guitar-driven sports theme music widely used in American television broadcasts.
- 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: Paul Barrett Triple: [Darren Naish, hasCollaboratedWith, Paul Barrett]
Generated description
Paul Barrett is a British paleontologist known for his research on dinosaur evolution and taxonomy, particularly ornithischian dinosaurs, and his work at the Natural History Museum in London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Barrett Target entity description: Paul Barrett is a British paleontologist known for his research on dinosaur evolution and taxonomy, particularly ornithischian dinosaurs, and his work at the Natural History Museum in London.
-
A.
Sam Barrington
Sam Barrington is an American former NFL linebacker who played primarily for the Green Bay Packers after a standout college career at the University of South Florida.
-
B.
John Barrett
John Barrett was an actor who appeared in the 1978 animated film adaptation of "The Water Babies."
-
C.
Tony Barrett
Tony Barrett is a fictional character appearing in the film "The Wedding Night."
-
D.
Philip Barrett
Philip Barrett was the husband of Scottish-American actress Eileen Herlie, known primarily in relation to her career on stage and screen.
-
E.
Phil Garrod
Phil Garrod is a composer best known for creating energetic, guitar-driven sports theme music widely used in American television broadcasts.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed627f48190a8ba638b85977af3 |
completed | April 20, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08551a0dd8819092042277a39e643a |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855ea027481908eebd5cff8ac97fb |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08568fa1748190b4e2c21fc3ec0b63 |
completed | May 16, 2026, 11:35 a.m. |
Created at: April 11, 2026, 11:38 p.m.