Triple
T14507465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Livingston |
E340301
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Crumb |
E67876
|
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: Crumb | Statement: [Victor Livingston, notableWork, Crumb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crumb Context triple: [Victor Livingston, notableWork, Crumb]
-
A.
Crumb
chosen
Crumb is a 1994 documentary film about underground cartoonist Robert Crumb, directed by Terry Zwigoff.
-
B.
Crumble
"Crumble" is a track featured on the comedy album or show "Laugh Track," likely contributing to its humorous or thematic narrative.
-
C.
Crumblin' Erb
"Crumblin' Erb" is a laid-back, funk-infused hip-hop track by Outkast that reflects on stress, escape, and Southern street life.
-
D.
Crum
Crum is the surname of Denny Crum, the Hall of Fame college basketball coach best known for leading the University of Louisville to multiple NCAA championships.
-
E.
The Green Butchers
The Green Butchers is a dark Danish comedy film about two eccentric butchers whose desperate bid for success leads them into macabre and morally dubious territory.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a7187c81909f173c2fb70509f5 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:21 a.m.