Triple
T11184245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henrietta Churchill |
E264620
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Henrietta |
E77681
|
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: Henrietta | Statement: [Henrietta Churchill, givenName, Henrietta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henrietta Context triple: [Henrietta Churchill, givenName, Henrietta]
-
A.
Henrietta
chosen
Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
-
B.
Henrietta
Henrietta is a suburban community in western New York State, located near Rochester within the Rust Belt region along the Interstate 90 corridor.
-
C.
Henriette
Henriette is the given first name of the French photographer and painter Dora Maar, renowned for her association with Pablo Picasso and the Surrealist movement.
-
D.
Clelia
Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
-
E.
The Helen
The Helen is a performance space within the Helen Rosenfeld Lewis Bialosky Lab Theatre complex, used for theatrical productions and related arts events.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a9c5e081908c85b41a268428fb |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483c1b4f88190b7c38b254d37c7fb |
completed | April 19, 2026, 7:26 a.m. |
Created at: April 8, 2026, 9:29 p.m.