Triple
T33193129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Johnson vs. James J. Jeffries |
E849665
|
entity |
| Predicate | featuredChallengerEthnicity |
P145609
|
FINISHED |
| Object | white American |
—
|
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: white American | Statement: [Jack Johnson vs. James J. Jeffries, featuredChallengerEthnicity, white American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredChallengerEthnicity Context triple: [Jack Johnson vs. James J. Jeffries, featuredChallengerEthnicity, white American]
-
A.
featuredChampionEthnicity
Indicates that a particular ethnicity is highlighted or prominently represented as the featured champion in a given context or event.
-
B.
featuredChallenger
chosen
Indicates that an entity is highlighted or designated as a primary or special challenger in a given context or competition.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
E.
winnerEthnicity
Indicates the ethnic background or group to which the winner belongs.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a016cc5abcc8190b64094c777b40f6f |
completed | May 11, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_6a016b997ecc8190818207c57b9cbf17 |
completed | May 11, 2026, 5:39 a.m. |
Created at: May 1, 2026, 1:29 a.m.