Triple
T8268300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Galecki |
E193355
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Suicide Kings |
E631457
|
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: Suicide Kings | Statement: [Johnny Galecki, appearedIn, Suicide Kings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suicide Kings Context triple: [Johnny Galecki, appearedIn, Suicide Kings]
-
A.
Suicide Kings
chosen
Suicide Kings is a 1997 darkly comedic crime thriller film about a group of wealthy young men who kidnap a retired mob boss in a desperate attempt to save a friend.
-
B.
Suicide Run
"Suicide Run" is a collection of crime novellas by Michael Connelly featuring his iconic LAPD detective Harry Bosch.
-
C.
Great Kills
Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
-
D.
Suicide Guy
Suicide Guy is a darkly comedic character in George Carlin’s stand-up special "Life Is Worth Losing," used to explore themes of depression, mortality, and the absurdity of suicidal thoughts.
-
E.
Suicide Bridge
Suicide Bridge is the grim nickname for Pasadena’s historic Colorado Street Bridge, notorious for the large number of people who have died by jumping from it.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794fc4208190b268bc69ff2b28a9 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6833065c8190945e88022ad2869d |
completed | April 1, 2026, 6:47 p.m. |
Created at: March 30, 2026, 5:50 p.m.