Triple
T33193132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Johnson vs. James J. Jeffries |
E849665
|
entity |
| Predicate | filmOfFightSubsequentlyBannedInUS |
P176167
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Jack Johnson vs. James J. Jeffries, filmOfFightSubsequentlyBannedInUS, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmOfFightSubsequentlyBannedInUS Context triple: [Jack Johnson vs. James J. Jeffries, filmOfFightSubsequentlyBannedInUS, true]
-
A.
filmCensorshipStatus
Indicates the censorship classification or restriction level that has been officially applied to a film.
-
B.
filmControversy
Indicates that a film has been the subject of public dispute, criticism, or debate due to its content, production, or impact.
-
C.
airedIn
Indicates that a media work was broadcast or shown during a specific time period or in a particular airing context.
-
D.
servedInTheatres
Indicates that a film or performance was publicly exhibited in movie theaters or similar cinema venues.
-
E.
wasOnceOutlawed
Indicates that an entity was previously considered illegal or banned by an authority but is no longer outlawed.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6dd3b335481909e24d4eb5b0269f9 |
completed | May 3, 2026, 5:29 a.m. |
Created at: May 1, 2026, 1:29 a.m.