Triple
T23552945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Jane Williams |
E578100
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Esther 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 Williams | Statement: [Esther Jane Williams, alsoKnownAs, Esther Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esther Williams Context triple: [Esther Jane Williams, alsoKnownAs, Esther Williams]
-
A.
Esther Williams
chosen
Esther Williams was an American competitive swimmer-turned-Hollywood star best known for her aquatic-themed musical films in the 1940s and 1950s.
-
B.
Eleanor Powell
Eleanor Powell was an acclaimed American film and Broadway actress and dancer, celebrated especially for her virtuosic tap dancing in Hollywood musicals of the 1930s and 1940s.
-
C.
Cleo Buckman Schwimmer
Cleo Buckman Schwimmer is the daughter of American actor and director David Schwimmer and photographer Zoë Buckman.
-
D.
Carole Landis
Carole Landis was an American film actress and World War II pin-up star known for her glamorous screen presence in 1940s Hollywood.
-
E.
Laura Jesson
Laura Jesson is the conflicted, middle-class housewife at the heart of the British romantic drama "Brief Encounter," whose chance meeting with a doctor leads to a poignant, unconsummated love affair.
- 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.