Triple
T20239761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Booth |
E498250
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Evangeline Booth |
—
|
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: Evangeline Booth | Statement: [Herbert Booth, sibling, Evangeline Booth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evangeline Booth Context triple: [Herbert Booth, sibling, Evangeline Booth]
-
A.
Evangeline Booth
chosen
Evangeline Booth was a prominent early 20th-century leader of The Salvation Army who became its first female General and expanded its social and evangelical work worldwide.
-
B.
Elizabeth Booth
Elizabeth Booth was a 19th-century American woman best known as a member of the prominent Booth theatrical family, daughter of the famed Shakespearean actor Junius Brutus Booth.
-
C.
Elizabeth Booth
Elizabeth Booth is a woman known primarily as the daughter of Mary Ann Holmes Booth.
-
D.
Evangeline Williamson
Evangeline Williamson is a fictional attorney and central character from the soap opera "One Life to Live," known for her complex personal and professional storylines.
-
E.
Evangeline Wood
Evangeline Wood was the wife of early film pioneer and Vitagraph Studios co-founder J. Stuart Blackton.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716dd0b081909d4063150cdc0c02 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.