Triple
T20156064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Baines |
E491568
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Baines |
—
|
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: Baines | Statement: [Frank Baines, familyName, Baines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baines Context triple: [Frank Baines, familyName, Baines]
-
A.
Baines
Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
-
B.
Baines
chosen
Baines is an English surname most notably associated with former professional footballer Leighton Baines, who played as a left-back for Everton and the England national team.
-
C.
Binnie
Binnie is the surname of Brian Binnie, a Scottish-American test pilot and astronaut known for flying SpaceShipOne on its historic suborbital spaceflights.
-
D.
Bennings
Bennings is a supporting character from John Carpenter's 1982 sci-fi horror film "The Thing," serving as one of the Antarctic research station crew members who becomes infected by the alien entity.
-
E.
Bain
Bain is a variant form of the name or term "Bean," used as an alternative spelling or version in certain contexts.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e0a0488190a25d92aaf300be4a |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.