Triple
T21148559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Wright |
E521123
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Thomas Bates |
—
|
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: Thomas Bates | Statement: [Christopher Wright, associatedWith, Thomas Bates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Bates Context triple: [Christopher Wright, associatedWith, Thomas Bates]
-
A.
Thomas Bates
Thomas Bates is an American businessman best known for his relationship with Orianne Cevey, the ex-wife of musician Phil Collins.
-
B.
Thomas Bates
chosen
Thomas Bates was a minor English Catholic conspirator involved in the 1605 Gunpowder Plot to assassinate King James I and blow up the Houses of Parliament.
-
C.
Thomas Mills
Thomas Mills was a notable local figure significant enough in his community’s history to have Thomas Mills High School named in his honor.
-
D.
John Hales
John Hales was a 16th-century English theologian and writer, noted for his moderate views during the Reformation and his influential religious essays.
-
E.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723ffb578819080a000987459a8a5 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.