Triple
T9340772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Comedian |
E224757
|
entity |
| Predicate | teamAffiliation |
P3753
|
FINISHED |
| Object | Crimebusters |
E792671
|
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: Crimebusters | Statement: [The Comedian, teamAffiliation, Crimebusters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crimebusters Context triple: [The Comedian, teamAffiliation, Crimebusters]
-
A.
Crimebusters
chosen
Crimebusters is a superhero team in the Watchmen universe formed by a new generation of costumed vigilantes attempting to address rising crime and social unrest.
-
B.
Crime Busters
Crime Busters is a 1977 Italian action-comedy film starring Terence Hill and Bud Spencer as bumbling yet effective crime-fighting partners in Miami.
-
C.
Cops
Cops is a long-running American reality television series that follows police officers on duty as they respond to real-life incidents and arrests.
-
D.
Beverly Hills Cop
Beverly Hills Cop is a 1984 action-comedy film starring Eddie Murphy as a wisecracking Detroit detective who investigates a murder in the upscale city of Beverly Hills.
-
E.
Bad Cop
Bad Cop is a central antagonist-turned-ally in *The Lego Movie*, depicted as a conflicted Lego police officer with a split good cop/bad cop personality.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bae2e2481909effc2dc89a642c5 |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3bad4388190ac53657027262a46 |
completed | April 4, 2026, 11:19 a.m. |
Created at: March 30, 2026, 7:40 p.m.