Triple
T8636708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So High |
E204541
|
entity |
| Predicate | notableWorkOf |
P4
|
FINISHED |
| Object | DeVon Harris |
E40392
|
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: DeVon Harris | Statement: [So High, notableWorkOf, DeVon Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeVon Harris Context triple: [So High, notableWorkOf, DeVon Harris]
-
A.
DeVon Harris
chosen
DeVon Harris is a songwriter best known for his work on the track "So High."
-
B.
Tony Delk
Tony Delk is a former American basketball guard best known for starring at the University of Kentucky in the mid-1990s and leading the Wildcats to the 1996 NCAA championship before playing in the NBA.
-
C.
DeRon Horton
DeRon Horton is an American actor best known for his role as Lionel Higgins in the Netflix series "Dear White People."
-
D.
Derrick Harvin
Derrick Harvin is a writer known for crafting feedback, likely in editorial, evaluative, or review-focused contexts.
-
E.
Byron Lawson
Byron Lawson is a Canadian actor best known for his roles in action and thriller films and television series, including a prominent part in "Snakes on a Plane."
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc476255508190b3e5855232b399a0 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef354c5c08190bf7d3023a3473d2f |
completed | April 2, 2026, 10:53 p.m. |
Created at: March 30, 2026, 6:27 p.m.