Triple
T14153081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Bancroft |
E350735
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tony Bancroft |
E350735
|
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: Tony Bancroft | Statement: [Tony Bancroft, name, Tony Bancroft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Bancroft Context triple: [Tony Bancroft, name, Tony Bancroft]
-
A.
Tony Bancroft
chosen
Tony Bancroft is an American animator and film director best known for co-directing Disney’s animated feature "Mulan."
-
B.
Ray Deakin
Ray Deakin was an English professional footballer, best known as a tough-tackling defender whose performances earned him recognition in the Bolton Wanderers Hall of Fame.
-
C.
Rich Buckler
Rich Buckler was an American comic book artist best known for his work at Marvel and DC Comics, including notable runs on titles like Fantastic Four and Deathlok.
-
D.
Alan Baker
Alan Baker was a British mathematician renowned for his groundbreaking work in number theory, particularly transcendental number theory, for which he received the Fields Medal in 1970.
-
E.
Alan Baker
Alan Baker is the charming, carefree bachelor protagonist of Neil Simon's comedy "Come Blow Your Horn," whose lifestyle and relationships drive the play's central conflicts and humor.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6133754881908e1e97db71772deb |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e68118819082448393cc141d96 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 12:57 a.m.