Triple
T7382274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJ Wallace |
E170287
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kicks |
E121299
|
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: Kicks | Statement: [CJ Wallace, notableWork, Kicks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kicks Context triple: [CJ Wallace, notableWork, Kicks]
-
A.
Kicks (film)
chosen
Kicks is a 2016 coming-of-age drama film that follows a teenage boy in Oakland whose quest to retrieve his stolen Air Jordans leads him into increasingly dangerous situations.
-
B.
Heels
Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
-
C.
Kickers
Kickers is the commonly used nickname for the Richmond Kickers, a professional soccer club based in Richmond, Virginia.
-
D.
Kick
Kick was the affectionate nickname of Kathleen Kennedy Cavendish, the socially prominent and charismatic sister of U.S. President John F. Kennedy.
-
E.
Kick
Kick is a live-streaming platform focused on gaming and creator-friendly revenue sharing, positioned as an alternative to Twitch.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c9a3c48190972126c19aa31dca |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802db77988190aacc4e2f9cbb0bb3 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.