Triple
T23349892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Carey |
E591975
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Ledge |
—
|
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: The Ledge | Statement: [Anne Carey, notableWork, The Ledge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Ledge Context triple: [Anne Carey, notableWork, The Ledge]
-
A.
The Ledge
chosen
The Ledge is a psychological thriller film centered on a deadly moral dilemma between two men on a high-rise building ledge.
-
B.
The Ledge
The Ledge is a retail and dining area within Shangri-La Plaza, offering a mix of shops, restaurants, and lifestyle establishments.
-
C.
The Ledge
The Ledge is a suspenseful horror short story by Stephen King about a deadly bet that forces a man to inch his way around a narrow building ledge high above the ground.
-
D.
Meet on the Ledge
"Meet on the Ledge" is a classic folk-rock song by Fairport Convention, widely regarded as one of their signature anthems and a staple of British folk music.
-
E.
Ledges Overlook
Ledges Overlook is a scenic viewpoint known for its expansive vistas over the rocky Ledges area and surrounding landscape.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a132da08190b30de610d34c96cc |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:19 p.m.