Triple
T1370252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Armstrong |
E30096
|
entity |
| Predicate | worldTitlesHeldSimultaneously |
P15197
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Henry Armstrong, worldTitlesHeldSimultaneously, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldTitlesHeldSimultaneously Context triple: [Henry Armstrong, worldTitlesHeldSimultaneously, 3]
-
A.
worldChampionshipTitles
chosen
Indicates the number of world championship titles an entity has won.
-
B.
worldTitleHeld
Indicates that an entity holds or has held a world-level title or championship in a particular domain or competition.
-
C.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
D.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
-
E.
winnerTitleRecord
Indicates that a record documents the title or achievement associated with an entity that has won a particular contest, award, or competition.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d7b6008190bc0303b56959ba56 |
completed | March 1, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69a4befb08b88190be966fa1aadd4bcd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.