Triple
T14815447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constance Bennett |
E348300
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Constance |
E246027
|
NE FINISHED |
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: Constance | Statement: [Constance Bennett, givenName, Constance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constance Context triple: [Constance Bennett, givenName, Constance]
-
A.
Constance
chosen
Constance is a feminine given name of Latin origin, historically associated with nobility and meaning steadfastness or constancy.
-
B.
Constance
Constance is a historic city on Lake Constance in present-day Germany, best known as the site of the early 15th-century Council of Constance that ended the Western Schism in the Catholic Church.
-
C.
Cicely
Cicely is a feminine given name most famously borne by the acclaimed American actress Cicely Tyson.
-
D.
Marjory
Marjory is a feminine given name, commonly considered a variant spelling of Marjorie.
-
E.
Bethia
Bethia was the original name of the British merchant vessel that was later purchased by the Royal Navy and renamed HMS Bounty, famed for the 1789 mutiny.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe0e89c81908c0e1fe2bc3ebcfc |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389598848190ba15e6eea2ba2903 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:49 a.m.