Triple
T14938852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Loves Me |
E372467
|
entity |
| Predicate | originalChoreographer |
P806
|
FINISHED |
| Object | Carol Haney |
E527708
|
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: Carol Haney | Statement: [She Loves Me, originalChoreographer, Carol Haney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Haney Context triple: [She Loves Me, originalChoreographer, Carol Haney]
-
A.
Carol Haney
chosen
Carol Haney was an American dancer and choreographer known for her dynamic work on Broadway and in Hollywood musicals during the 1950s and early 1960s.
-
B.
Carol Hagen
Carol Hagen is an American real estate agent best known as the wife of NBC Nightly News anchor Lester Holt.
-
C.
Judy Haynes
Judy Haynes is one of the singing Haynes sisters and a central romantic lead in the classic 1954 musical film "White Christmas."
-
D.
Carol Henning
Carol Henning was the first wife of American author John Steinbeck, with whom he lived during his early, formative years as a writer.
-
E.
Linda Haynes
Linda Haynes was an American film and television actress best known for her roles in 1970s crime and exploitation films, including notable performances in movies like Rolling Thunder and Coffy.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3548b48190aec852723654bd35 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 2:38 a.m.