Triple
T18973619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Shaughnessy |
E464234
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Designing Woman |
—
|
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: Designing Woman | Statement: [Mickey Shaughnessy, notableWork, Designing Woman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Designing Woman Context triple: [Mickey Shaughnessy, notableWork, Designing Woman]
-
A.
Designing Woman
chosen
Designing Woman is a 1957 romantic comedy film starring Lauren Bacall and Gregory Peck, known for its witty script and stylish depiction of New York high society.
-
B.
Such a Woman
"Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
-
C.
This Woman
"This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
-
D.
This Woman
"This Woman" is a country music album by American singer LeAnn Rimes, noted for its blend of contemporary and traditional country styles.
-
E.
A Woman
A Woman is a 2010 psychological drama film written and directed by Italian filmmaker Giada Colagrande, exploring obsession, identity, and female subjectivity.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61d7728819096f0baea75658a6a |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon