Triple
T22977263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laird Becker |
E571358
|
entity |
| Predicate | toneOfWorkAppearedIn |
P150467
|
FINISHED |
| Object | comedy |
—
|
LITERAL 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: comedy | Statement: [Laird Becker, toneOfWorkAppearedIn, comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toneOfWorkAppearedIn Context triple: [Laird Becker, toneOfWorkAppearedIn, comedy]
-
A.
timeOfAppearance
Indicates the specific time at which an entity or event becomes visible, present, or first occurs.
-
B.
themeOfWorkHeAppearsIn
Indicates that the subject is the thematic focus or central topic of the work in which he appears.
-
C.
eraOfWorkRelease
Indicates the historical or cultural era during which a work was originally released.
-
D.
introducedInWorkType
Indicates that an entity was first introduced or appeared in a work of a specified type (e.g., book, film, game).
-
E.
appearedInAudioFor
Indicates that one entity was featured or took part in an audio recording, production, or program associated with another entity.
- F. None of above. chosen
Provenance (4 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:48 p.m.