Triple
T23340004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Spirits |
E591709
|
entity |
| Predicate | originalBroadwayCastMember |
P4737
|
FINISHED |
| Object | Louise Troy |
—
|
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: Louise Troy | Statement: [High Spirits, originalBroadwayCastMember, Louise Troy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise Troy Context triple: [High Spirits, originalBroadwayCastMember, Louise Troy]
-
A.
Louise Troy
chosen
Louise Troy was an American stage, film, and television actress known for her work on Broadway and in mid-20th-century screen roles.
-
B.
Louise Emory
Louise Emory was the wife of American political theorist and Progressive-era intellectual Herbert Croly.
-
C.
Louise Franklin
Louise Franklin was the wife of British actor George Coulouris, known primarily in relation to his personal life.
-
D.
Louise Thomas
Louise Thomas was the wife of pioneering British aviation designer and test pilot Geoffrey de Havilland.
-
E.
Louise Lombard
Louise Lombard is a British actress best known for her roles in the TV series "CSI: Crime Scene Investigation" and "The House of Eliott."
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198317f4c8190a557cacb86568d6c |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:18 p.m.