Triple
T22454413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuts |
E555076
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Ace (Cuts) |
—
|
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: Ace (Cuts) | Statement: [Cuts, hasCharacter, Ace (Cuts)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ace (Cuts) Context triple: [Cuts, hasCharacter, Ace (Cuts)]
-
A.
Ace (Cuts)
chosen
Ace (Cuts) is a fictional character portrayed by Rashaan Nall in the film "Cuts."
-
B.
Captain Cuts
Captain Cuts is an American songwriting and production trio known for crafting pop and electronic hits for numerous mainstream artists.
-
C.
Cuttin Up
Cuttin Up is a breakout drill track by Chicago rapper Lud Foe that helped establish his aggressive, street-oriented style and grow his underground following.
-
D.
The Cut
The Cut is a 2014 historical drama film directed by Fatih Akin that follows an Armenian man's search for his daughters in the aftermath of the Armenian genocide.
-
E.
The Cut
The Cut is a street in the Waterloo area of London known for its theatres, restaurants, and proximity to major transport links.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4e2bd4819083e5bed44e9776c6 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.