Triple
T23214341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Give Me Your Heart Tonight |
E580692
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Shirley |
—
|
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: Shirley | Statement: [Give Me Your Heart Tonight, hasPart, Shirley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirley Context triple: [Give Me Your Heart Tonight, hasPart, Shirley]
-
A.
Shirley
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
-
B.
Shirley
Shirley is a suburban area in the London Borough of Croydon, known for its residential neighborhoods and proximity to green spaces and nearby districts like West Wickham.
-
C.
Shirley
chosen
"Shirley" is a rock and roll song by Welsh singer Shakin' Stevens, known as one of his early hits.
-
D.
Shirley
"Shirley" is a social and political novel by Charlotte Brontë set during the industrial unrest of early 19th-century England, exploring themes of class conflict, gender roles, and economic hardship.
-
E.
Shirley
Shirley is a devout, long-suffering matriarch in Tyler Perry’s "Madea’s Big Happy Family," whose illness and desire to reunite her fractured family drive much of the film’s emotional core.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19163b9b88190a68fa6d08d37bdb7 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:07 p.m.