Triple
T23169371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man in Black |
E578801
|
entity |
| Predicate | associatedTrackImage |
P136026
|
FINISHED |
| Object | fearless competitor |
—
|
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: fearless competitor | Statement: [The Man in Black, associatedTrackImage, fearless competitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTrackImage Context triple: [The Man in Black, associatedTrackImage, fearless competitor]
-
A.
associatedWithTrack
Indicates a relationship in which an entity is linked or connected to a specific track, such as being part of, derived from, or relevant to that track.
-
B.
associatedWithMediaImage
chosen
Indicates a relationship where an entity is linked or connected to a specific media image, such as a photo, illustration, or graphic file.
-
C.
usesTrackage
Indicates that one transportation operator or service runs its vehicles over railway or transit tracks that are owned or controlled by another entity.
-
D.
trackFeature
Indicates that one entity monitors, records, or follows the behavior, state, or evolution of a particular feature associated with another entity.
-
E.
isTrackedBy
Indicates that an entity’s state, behavior, or changes are being monitored, recorded, or followed by another entity.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2e5e208190839ec37de4b974af |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:03 p.m.