Triple
T11237096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Keziah Delaney |
E265967
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Chips Hardy |
E265964
|
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: Chips Hardy | Statement: [James Keziah Delaney, createdBy, Chips Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chips Hardy Context triple: [James Keziah Delaney, createdBy, Chips Hardy]
-
A.
Chips Hardy
chosen
Chips Hardy is a British screenwriter, novelist, and creative director known for co-creating the television series "Taboo" with his son, actor Tom Hardy.
-
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.
Alec Hardy
Alec Hardy is a brooding, determined detective inspector best known as one of the central characters in the British crime drama series "Broadchurch."
-
E.
Sam Hardy
Sam Hardy was an American character actor of the early 20th century, known for his supporting roles in numerous Hollywood films during the 1920s and 1930s.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad6308f8819085652d6c529ac821 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.