Triple
T17412629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Gray Centre |
E423406
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | John Gray |
—
|
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: John Gray | Statement: [John Gray Centre, namedAfter, John Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Gray Context triple: [John Gray Centre, namedAfter, John Gray]
-
A.
John Gray
John Gray is an American television writer and producer best known for creating the supernatural drama series "Ghost Whisperer."
-
B.
John Gray
chosen
John Gray is a British political philosopher and author known for his critiques of liberalism, Enlightenment rationalism, and modern humanism.
-
C.
Paul Browne
Paul Browne is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, law enforcement, and academia.
-
D.
J. Glenn Gray
J. Glenn Gray was an American philosopher, essayist, and translator known for his writings on war, existentialism, and his influential translations of Martin Heidegger.
-
E.
Brad Alan Grey
Brad Alan Grey was an American television and film producer who served as chairman and CEO of Paramount Pictures, overseeing numerous successful movies and TV shows.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0c12b881908b2ddc13678c7a75 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.