Triple
T36109024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Owen |
E1044438
|
entity |
| Predicate | worksInSeries |
P100406
|
FINISHED |
| Object | FIA Formula One World Championship |
—
|
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: FIA Formula One World Championship | Statement: [John Owen, worksInSeries, FIA Formula One World Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksInSeries Context triple: [John Owen, worksInSeries, FIA Formula One World Championship]
-
A.
worksInSeriesWith
Indicates that one entity collaborates or participates together with another entity within the same series or serialized work.
-
B.
hasWorkInSameSeries
Indicates that two works belong to and are part of the same series.
-
C.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by another entity.
-
D.
basedInSeries
Indicates that one entity is set, located, or primarily takes place within the narrative world or context of a particular series.
-
E.
workedOnSeries
chosen
Indicates that an entity contributed work to the creation or production of a particular series.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:08 p.m.