Triple
T22840181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost (TV series score) |
E566057
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Hurley |
—
|
NE NERFINISHED |
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: Hurley | Statement: [Lost (TV series score), associatedWithCharacter, Hurley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurley Context triple: [Lost (TV series score), associatedWithCharacter, Hurley]
-
A.
Hurley
Hurley is a 2010 studio album by American rock band Weezer, noted for its cover featuring actor Jorge Garcia and its blend of alternative rock and pop-punk.
-
B.
Hurley
Hurley is a film featuring Patrick Wilson that showcases his work as an actor.
-
C.
Hurley
Hurley is a common English-language surname borne by various notable individuals across fields such as technology, sports, and entertainment.
-
D.
Hurley
Hurley is a small unincorporated community located in the state of Tennessee in the United States.
-
E.
Hurley Reyes
chosen
Hurley Reyes is a beloved main character from the television series "Lost," known for his humor, kindness, and complex backstory involving a lottery win and perceived bad luck.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.