Triple
T16252981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Bennett |
E394558
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Thomas Bennett |
E1202960
|
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: Thomas Bennett | Statement: [Henry Bennett, hasChild, Thomas Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Bennett Context triple: [Henry Bennett, hasChild, Thomas Bennett]
-
A.
Thomas Bennett
chosen
Thomas Bennett is the son of Maria Bennett.
-
B.
Simon Beaufoy
Simon Beaufoy is an Academy Award–winning British screenwriter known for films such as "Slumdog Millionaire," "The Full Monty," and "127 Hours."
-
C.
Anthony Marston
Anthony Marston is a handsome, reckless young playboy whose arrogance and carelessness make him one of the early victims in Agatha Christie’s mystery novel "And Then There Were None."
-
D.
Jason Flemyng
Jason Flemyng is an English actor known for his character roles in films such as "Lock, Stock and Two Smoking Barrels," "Snatch," and various Hollywood and British productions.
-
E.
Daniel London
Daniel London is an American actor best known for his supporting roles in films such as "Patch Adams" and "Minority Report," as well as various television appearances.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24597b74481908fdb8175628a57a1 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b1e22c8190bddca67661121c2d |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:04 a.m.