Triple
T4595358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardy Holzman Pfeiffer Associates |
E100189
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hugh Hardy |
E458366
|
NE FINISHED |
How this triple was built (2 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: Hugh Hardy | Statement: [Hardy Holzman Pfeiffer Associates, hasPart, Hugh Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Hardy Context triple: [Hardy Holzman Pfeiffer Associates, hasPart, Hugh Hardy]
-
A.
Hugh Hardy
chosen
Hugh Hardy was a prominent American architect best known for his innovative designs and restorations of cultural and performing arts venues.
-
B.
Phil Hardy
Phil Hardy was a British music industry journalist and author best known for his influential reference works on rock, pop, and film music.
-
C.
Will Hardy
Will Hardy is an American professional basketball coach who serves as the head coach of the NBA's Utah Jazz.
-
D.
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.
-
E.
Callum Turner
Callum Turner is a British actor and model known for roles in films such as "Green Room," the "Fantastic Beasts" series, and various acclaimed television dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd593f25888190a4f219e4da494764 |
completed | March 20, 2026, 2:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0345e4688190abfbb55d60339e83 |
completed | March 21, 2026, 2:32 a.m. |
Created at: March 20, 2026, 1:11 p.m.