Triple
T18744260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Hardy |
E458366
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hugh Hardy |
—
|
NE NERFINISHED |
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: [Hugh Hardy, name, Hugh Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Hardy Context triple: [Hugh Hardy, name, 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.
Jason Kingsley
Jason Kingsley is a British entrepreneur and game developer best known as the co-founder and CEO of the video game studio Rebellion Developments.
-
D.
Chris Barrie
Chris Barrie is a British actor and impressionist best known for his roles as Arnold Rimmer in the sci-fi sitcom "Red Dwarf" and Gordon Brittas in "The Brittas Empire."
-
E.
Will Hardy
Will Hardy is an American professional basketball coach who serves as the head coach of the NBA's Utah Jazz.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57691c8688190b225cbd88493d9d1 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.