Triple
T30728409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lock In series |
E782344
|
entity |
| Predicate | hasAudiobookNarrators |
P179231
|
FINISHED |
| Object | Wil Wheaton |
—
|
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: Wil Wheaton | Statement: [Lock In series, hasAudiobookNarrators, Wil Wheaton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAudiobookNarrators Context triple: [Lock In series, hasAudiobookNarrators, Wil Wheaton]
-
A.
numberOfNarrators
Indicates the quantity of distinct narrators associated with a given work or narrative.
-
B.
hasAudiobookVersion
Indicates that an entity has a corresponding version available in audiobook format.
-
C.
authorOfCollectionAlsoNarratorOfAudiobook
Indicates that the person who authored the written collection is also the narrator of its audiobook version.
-
D.
narratedByInAdaptation
chosen
Indicates that, in a particular adaptation of a work, the story is told or voiced by a specific narrator.
-
E.
hasNarration
Indicates that an entity provides spoken or written commentary or storytelling for another entity, such as a work, event, or scene.
- F. None of above.
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_69f224ad9f9c81908e02a79ae0001137 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 29, 2026, 8:37 p.m.