Triple
T17435537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Brandon |
E423992
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Vera Cruz |
—
|
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: Vera Cruz | Statement: [Henry Brandon, notableWork, Vera Cruz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vera Cruz Context triple: [Henry Brandon, notableWork, Vera Cruz]
-
A.
Vera Cruz
Vera Cruz is a surname most notably associated with Filipino American labor leader and civil rights activist Philip Vera Cruz.
-
B.
Vera Cruz
chosen
Vera Cruz is a 1954 American Western film directed by Robert Aldrich, noted for its cynical tone, antihero characters, and influence on the later Spaghetti Western genre.
-
C.
Vera Cruz
Vera Cruz is a coastal municipality in the state of Bahia, Brazil, situated within the metropolitan area of Salvador and known for its beaches and island landscapes.
-
D.
Bahia_Banderas
Bahia Banderas is a coastal municipality in the Mexican state of Nayarit, known for its popular beach resorts and location along the Bay of Banderas on the Pacific Ocean.
-
E.
Bajío
Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490361c081908fd24f9a812f212c |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.