Triple
T5741458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hollars |
E126622
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Ron Hollar |
E551165
|
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: Ron Hollar | Statement: [The Hollars, hasCharacter, Ron Hollar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Hollar Context triple: [The Hollars, hasCharacter, Ron Hollar]
-
A.
Jim Holland
Jim Holland is the husband of Zimbabwean politician and human rights activist Sekai Holland.
-
B.
Don Hollar
chosen
Don Hollar is a fictional family patriarch featured in the 2016 dramedy film "The Hollars."
-
C.
Michael V. Hurley
Michael V. Hurley is a notable individual recognized for achievements or public prominence associated with the surname Hurley.
-
D.
Michael H. Hurley
Michael H. Hurley is a notable individual recognized for achievements or contributions significant enough to be distinctly associated with the surname Hurley.
-
E.
Doug J. Hannah
Doug J. Hannah is a film editor best known for his work on the science fiction thriller "The Cloverfield Paradox."
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0258382908190af8787feb1e5fbcd |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0c0dd948190a39c714026a228b0 |
completed | March 23, 2026, 3:17 a.m. |
Created at: March 22, 2026, 3:48 p.m.