Triple
T23370664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punk |
E593460
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Strick |
E1357523
|
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: Strick | Statement: [Punk, featuresArtist, Strick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strick Context triple: [Punk, featuresArtist, Strick]
-
A.
Strick
chosen
Strick is a surname most notably associated with American film director and producer Joseph Strick.
-
B.
Stricken
"Stricken" is a song by the American heavy metal band Disturbed, known for its melodic hooks, heavy guitar riffs, and prominent use of lead guitar solos.
-
C.
Strijp
Strijp is a district in the Dutch city of Eindhoven, historically known for its strong association with Philips and its transformation into a creative and cultural hub.
-
D.
Strank
Strank is a surname most notably associated with Michael Strank, one of the U.S. Marines immortalized in the iconic World War II photograph of the flag raising on Iwo Jima.
-
E.
Strickler
Strickler is a complex changeling character from the animated series "Trollhunters: Tales of Arcadia," who serves as both a mentor and conflicted adversary to protagonist Jim Lake Jr.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0b0bdc081908c7852c026ca7ff7 |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5ddde5608190acd427c4b8740733 |
completed | May 19, 2026, 12:55 p.m. |
Created at: April 17, 2026, 5:32 p.m.