Triple
T22744967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Haith |
E562522
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Frank |
—
|
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: Frank | Statement: [Frank Haith, givenName, Frank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Context triple: [Frank Haith, givenName, Frank]
-
A.
Frank
Frank is the given name of British screenwriter and children's author Frank Cottrell-Boyce.
-
B.
Frank
Frank is the critically acclaimed 2003 debut studio album by English singer-songwriter Amy Winehouse, blending jazz, soul, and R&B influences.
-
C.
Frank
chosen
Frank is the given name of Frank Gore, a prominent former NFL running back and one of the league’s all-time leading rushers.
-
D.
Frank
Frank is the given name of Frank S. Nugent, an American screenwriter and film critic best known for his work on classic John Ford Westerns.
-
E.
Frank
Frank is a supporting character in the 2014 indie drama film "Alex of Venice," which follows a work-obsessed environmental lawyer whose life unravels after her husband leaves.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b563e481908804d07fca1777b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:23 p.m.