Triple
T15673994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobcat Goldthwait |
E377388
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Burglar |
E704326
|
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: Burglar | Statement: [Bobcat Goldthwait, performedIn, Burglar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burglar Context triple: [Bobcat Goldthwait, performedIn, Burglar]
-
A.
Burglar
chosen
"Burglar" is a 1974 blues album by influential American guitarist and singer Freddie King, showcasing his powerful playing and soulful vocals.
-
B.
Ladros
Ladros is a highland region in J.R.R. Tolkien’s Beleriand, known as the northern part of Dorthonion and the fief granted to the House of Bëor.
-
C.
De Inbreker
De Inbreker is a Dutch film featuring actor Rijk de Gooyer in a prominent role.
-
D.
The Burglar
The Burglar is a 1957 American film noir crime drama about a jewel thief whose carefully planned heist unravels amid betrayal and pursuit.
-
E.
Pickpocket
Pickpocket is a 1959 French drama film by Robert Bresson, renowned for its minimalist style and existential exploration of crime, guilt, and redemption.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6edb12bc8190b2c5558190671ae5 |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:16 a.m.