Triple
T14974666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reese Feldman |
E373412
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Huggy Bear |
E369329
|
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: Huggy Bear | Statement: [Reese Feldman, associatedWithCharacter, Huggy Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huggy Bear Context triple: [Reese Feldman, associatedWithCharacter, Huggy Bear]
-
A.
Huggy Bear
chosen
Huggy Bear is a streetwise, well-connected informant and bar owner who serves as a key ally to the titular detectives in the television series "Starsky & Hutch."
-
B.
Hazy Davy
Hazy Davy is a wild, free-spirited character from Bruce Springsteen’s song “Spirit in the Night,” known for his reckless energy and surreal nighttime adventures.
-
C.
Happy Hinds
Happy Hinds is the child of American R&B and soul singer-songwriter Macy Gray.
-
D.
Peanut Butter Wolf
Peanut Butter Wolf is an American DJ and producer best known as the founder of the influential independent hip-hop label Stones Throw Records.
-
E.
Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8beac05c8190bf19ec8bd1eab2d8 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:51 a.m.