Triple
T7667740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLB |
E173665
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | CREW |
E679205
|
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: CREW | Statement: [CLB, relatedTo, CREW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CREW Context triple: [CLB, relatedTo, CREW]
-
A.
Crews
Crews is the surname of American actor, former NFL player, and television host Terry Crews, known for his comedic roles and charismatic personality.
-
B.
Crew
chosen
Crew is the common short name for the Columbus Crew, a professional Major League Soccer club based in Columbus, Ohio.
-
C.
Crew Love
"Crew Love" is a moody, atmospheric R&B/hip-hop collaboration between The Weeknd and Drake that helped introduce The Weeknd’s dark, emotive sound to a wider audience.
-
D.
Ghost crew
The Ghost crew is the central group of rebel protagonists in Star Wars Rebels, consisting of a small band of freedom fighters who oppose the Galactic Empire aboard the starship Ghost.
-
E.
Skeleton Crew
Skeleton Crew is a 1985 horror short story collection by Stephen King featuring a wide range of macabre and supernatural tales.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701c26ffc8190894fdef92f877f38 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a22442dc8190a26c966e7b06f1a9 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4 p.m.