Triple
T18286158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Wood |
E437988
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Benjamin Wood |
—
|
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: Benjamin Wood | Statement: [Fernando Wood, sibling, Benjamin Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Wood Context triple: [Fernando Wood, sibling, Benjamin Wood]
-
A.
Benjamin Wood
chosen
Benjamin Wood was a 19th-century American politician and newspaper publisher from New York, known for his pro-Southern, anti-war stance during the Civil War era.
-
B.
Benjamin Heath
Benjamin Heath was an 18th-century English classical scholar and critic known for his work on Greek and Latin literature.
-
C.
Benjamin Wheeler
Benjamin Wheeler was an individual significant enough in local or regional history that the Texas community of Ben Wheeler was named in his honor.
-
D.
Benjamin Rice
Benjamin Rice is a music producer known for his work on contemporary pop and soundtrack recordings.
-
E.
Benjamin Tyler
Benjamin Tyler was a member of the prominent Tyler family of Virginia and a son of American judge and politician John Tyler Sr.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fa2f308190a4744a4ed630b8d9 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.