Triple
T6129439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jill Esmond |
E136673
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Jill Esmond Moore |
E315606
|
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: Jill Esmond Moore | Statement: [Jill Esmond, birthName, Jill Esmond Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jill Esmond Moore Context triple: [Jill Esmond, birthName, Jill Esmond Moore]
-
A.
Jill Moore
chosen
Jill Moore is best known as the former wife of English musician and former Genesis frontman Peter Gabriel.
-
B.
Alison Moore
Alison Moore is an Australian lexicographer who serves as the editor-in-chief of the Macquarie Dictionary, a leading dictionary of Australian English.
-
C.
Sue Moore
Sue Moore is the mayor of Singleton Shire, a local government area in New South Wales, Australia.
-
D.
Alice Moore
Alice Moore is a character in the 1942 horror film "Cat People," serving as a key figure in the romantic and psychological tensions that drive the story.
-
E.
Kathryn Morris
Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4c8570819096dc87f0de2a9887 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1416a4dd481908f1336fbd02c7af8 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:15 p.m.