Triple
T2405656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah Jazz |
E50270
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object |
Will Hardy
Will Hardy is an American professional basketball coach who serves as the head coach of the NBA's Utah Jazz.
|
E264237
|
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: Will Hardy | Statement: [Utah Jazz, headCoach, Will Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Hardy Context triple: [Utah Jazz, headCoach, Will Hardy]
-
A.
Rich Harris
Rich Harris is a software engineer and journalist best known for creating the Svelte JavaScript framework and his work on interactive data visualizations.
-
B.
Mark Herron
Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
-
C.
Robert Watts
Robert Watts is a British film producer best known for his work on major films such as Who Framed Roger Rabbit and entries in the Star Wars and Indiana Jones franchises.
-
D.
James Arnold
James Arnold was a 19th-century American merchant and philanthropist whose bequest helped establish Harvard University's Arnold Arboretum.
-
E.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
- 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: Will Hardy Triple: [Utah Jazz, headCoach, Will Hardy]
Generated description
Will Hardy is an American professional basketball coach who serves as the head coach of the NBA's Utah Jazz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Hardy Target entity description: Will Hardy is an American professional basketball coach who serves as the head coach of the NBA's Utah Jazz.
-
A.
Rich Harris
Rich Harris is a software engineer and journalist best known for creating the Svelte JavaScript framework and his work on interactive data visualizations.
-
B.
Mark Herron
Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
-
C.
Robert Watts
Robert Watts is a British film producer best known for his work on major films such as Who Framed Roger Rabbit and entries in the Star Wars and Indiana Jones franchises.
-
D.
James Arnold
James Arnold was a 19th-century American merchant and philanthropist whose bequest helped establish Harvard University's Arnold Arboretum.
-
E.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fb78408190b99fa8b4dfaaa75d |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e95334819093923b0c36b968f2 |
completed | March 9, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_69aeb7b2d8f88190a12ce00000735fd6 |
completed | March 9, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb827504c8190bd458e79193d51cc |
completed | March 9, 2026, 12:08 p.m. |
Created at: March 4, 2026, 7:58 p.m.