Triple
T23552944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Jane Williams |
E578100
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Esther Jane Williams |
—
|
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: Esther Jane Williams | Statement: [Esther Jane Williams, name, Esther Jane Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esther Jane Williams Context triple: [Esther Jane Williams, name, Esther Jane Williams]
-
A.
Esther Jane Williams
chosen
Esther Jane Williams was an American competitive swimmer turned Hollywood film star, best known for her elaborate aquatic musical films in the 1940s and 1950s.
-
B.
Esther Harvey
Esther Harvey was the wife of renowned American Broadway baritone and actor Alfred Drake.
-
C.
Esther Smith
Esther Smith is the central teenage daughter in the classic 1944 MGM musical film "Meet Me in St. Louis," famously portrayed by Judy Garland.
-
D.
Esther Smith
Esther Smith is a British actress best known for her leading role in the BBC Three comedy-drama series "Cuckoo."
-
E.
Esther Ralston
Esther Ralston was a prominent American silent film actress of the 1920s, known for her leading roles in major studio productions and her transition into early sound films.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed096b08190a8a755eaa7663fba |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.