Triple
T33959383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Mahan |
E870666
|
entity |
| Predicate | worldAllAroundTitlesFirstStreakEndYear |
P196256
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Larry Mahan, worldAllAroundTitlesFirstStreakEndYear, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldAllAroundTitlesFirstStreakEndYear Context triple: [Larry Mahan, worldAllAroundTitlesFirstStreakEndYear, 1970]
-
A.
worldAllAroundTitlesFirstStreakStartYear
chosen
Indicates the year in which an entity’s first streak of winning world-all-around titles began.
-
B.
worldTitleYear
Indicates that a work holds a world title associated with a specific year.
-
C.
heldWorldsLargestTitleUntil
Indicates that an entity held the distinction of being the world’s largest in a particular category up to a specified point in time.
-
D.
recordHolderMostTitles
Indicates that one entity holds the highest number of titles (e.g., championships, awards, or similar distinctions) compared to all other entities in a given context.
-
E.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: May 1, 2026, 1:49 a.m.