Triple
T7746349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meg Ryan |
E175640
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | In the Cut |
E322763
|
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: In the Cut | Statement: [Meg Ryan, notableWork, In the Cut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In the Cut Context triple: [Meg Ryan, notableWork, In the Cut]
-
A.
In the Cut
chosen
In the Cut is a 2003 neo-noir erotic thriller film directed by Jane Campion, known for its gritty exploration of female sexuality and urban violence in contemporary New York City.
-
B.
The Cut
The Cut is a digital publication and vertical of New York Magazine that focuses on fashion, culture, politics, and women’s issues.
-
C.
Rough Cutt
Rough Cutt is an American heavy metal band from the 1980s Los Angeles scene, known for its melodic yet hard-edged sound and connections to other prominent glam and metal acts.
-
D.
Under the Knife
"Under the Knife" is a medical thriller novel by Tess Gerritsen that blends hospital drama with suspenseful crime investigation.
-
E.
Cuts Like a Knife
Cuts Like a Knife is a 1983 rock album by Canadian singer-songwriter Bryan Adams that helped establish his international popularity with its anthemic, radio-friendly sound.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7038b46bc8190b3a8a9da09d2b8df |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be4cdb148190af3ebaf9ac35b641 |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:08 p.m.