Triple
T25158824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life with Father |
E626384
|
entity |
| Predicate | playSource |
P158191
|
FINISHED |
| Object | autobiographical stories by Clarence Day |
—
|
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: autobiographical stories by Clarence Day | Statement: [Life with Father, playSource, autobiographical stories by Clarence Day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playSource Context triple: [Life with Father, playSource, autobiographical stories by Clarence Day]
-
A.
playIn
Indicates that an entity participates or performs in a particular event, context, or location (such as a game, match, or venue).
-
B.
play
Indicates that an entity engages in a recreational, performative, or competitive activity, often involving a game, sport, or musical performance, typically with another entity or object.
-
C.
musicSource
Indicates that one entity serves as the origin or provider of music for another entity or context.
-
D.
playbackMethod
Indicates the manner or technique by which media content is played back or rendered.
-
E.
playedFrom
Indicates that an action of playing (such as media playback or a performance) originated from a particular source or starting point.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f46b8b03508190ad7ef11ca65eda05 |
completed | May 1, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 6:31 a.m.