Triple
T9090113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Beahan |
E217858
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Chopper |
E367483
|
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: Chopper | Statement: [Kate Beahan, notableWork, Chopper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chopper Context triple: [Kate Beahan, notableWork, Chopper]
-
A.
Chopper
chosen
Chopper is a 2000 Australian crime drama film in which Eric Bana portrays notorious criminal Mark "Chopper" Read.
-
B.
Bad Chopper
Bad Chopper is a punk rock band fronted by former Ramones bassist C.J. Ramone, known for carrying forward the classic punk sound.
-
C.
Raleigh Chopper
The Raleigh Chopper is an iconic 1970s children’s bicycle known for its distinctive chopper-style design, high-rise handlebars, and elongated banana seat.
-
D.
Petercopter
Petercopter is a humorous helicopter-themed alter ego of Peter Griffin from the animated television series "Family Guy."
-
E.
The Raptor
The Raptor is the high-energy, dinosaur-themed official mascot of the NBA’s Toronto Raptors, known for acrobatic antics and entertaining fans during games.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965971f88190acffbf204c11832b |
completed | April 1, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d017e0d3cc8190b3e92b0a8f18489f |
completed | April 3, 2026, 7:41 p.m. |
Created at: March 30, 2026, 7:14 p.m.