Triple
T13197443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shay Haley |
E314149
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Chad Hugo |
E45125
|
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: Chad Hugo | Statement: [Shay Haley, associatedAct, Chad Hugo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chad Hugo Context triple: [Shay Haley, associatedAct, Chad Hugo]
-
A.
Chad Hugo
chosen
Chad Hugo is an American record producer, multi-instrumentalist, and songwriter best known as one half of the influential production duo The Neptunes, alongside Pharrell Williams.
-
B.
Chad Sexton
Chad Sexton is an American drummer best known as a founding member of the rock band 311.
-
C.
Chad Fischer
Chad Fischer is an American composer, musician, and producer best known for his film and television scores, including his work on the soundtrack for the film "Garden State."
-
D.
Chad Channing
Chad Channing is an American drummer best known for his early work with the grunge band Nirvana, including playing on much of their debut album "Bleach."
-
E.
Chad Feldheimer
Chad Feldheimer is a dim-witted but enthusiastic gym employee whose discovery of what he believes to be sensitive government information drives much of the darkly comic chaos in the film "Burn After Reading."
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c64290881909759ef3a281b6a68 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f605a48c81909373fcd9dd896b3d |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:16 p.m.