Triple
T16207763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trust (music video) |
E393370
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | JLShotThat |
E1201322
|
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: JLShotThat | Statement: [Trust (music video), director, JLShotThat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JLShotThat Context triple: [Trust (music video), director, JLShotThat]
-
A.
JLShotThat
chosen
JLShotThat is a music video director known for visually crafting and enhancing the style and image of artists like Big Drip.
-
B.
Shot@Life
Shot@Life is a global health campaign that works to increase access to life-saving vaccines for children in developing countries.
-
C.
Shot!
Shot! is a component or segment of the larger work "Conspiracy," likely serving as a distinct part within its overall structure or narrative.
-
D.
Shots
"Shots" is a high-energy party anthem by LMFAO featuring Lil Jon, known for its heavy club beat and chant-along celebration of drinking.
-
E.
Shot
Shot is a 1996 noise rock album by American band The Jesus Lizard, noted for its aggressive sound and polished production.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22710ef2c8190a8d7b9fb1666816c |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed13b40819096de333872225730 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.