Triple
T33959382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Mahan |
E870666
|
entity |
| Predicate | worldAllAroundTitlesFirstStreakStartYear |
P196256
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [Larry Mahan, worldAllAroundTitlesFirstStreakStartYear, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldAllAroundTitlesFirstStreakStartYear Context triple: [Larry Mahan, worldAllAroundTitlesFirstStreakStartYear, 1966]
-
A.
worldTitleYear
Indicates that a work holds a world title associated with a specific year.
-
B.
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.
-
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.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
E.
seasonChampionsFirstTitle
Indicates that the champions of a given season won their first-ever title in that season.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fe189f2ea48190b8c4718f1353970e |
completed | May 8, 2026, 5:08 p.m. |
Created at: May 1, 2026, 1:49 a.m.