Triple
T33959384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Mahan |
E870666
|
entity |
| Predicate | worldAllAroundTitleAdditionalYear |
P57575
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Larry Mahan, worldAllAroundTitleAdditionalYear, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldAllAroundTitleAdditionalYear Context triple: [Larry Mahan, worldAllAroundTitleAdditionalYear, 1973]
-
A.
worldTitleYear
chosen
Indicates that a work holds a world title associated with a specific year.
-
B.
worldAllAroundTitlesFirstStreakStartYear
Indicates the year in which an entity’s first streak of winning world-all-around titles began.
-
C.
worldName
Indicates that an entity has or is associated with a specific world’s name.
-
D.
nationalTitleYear
Indicates the year in which an entity received or held a specific national title.
-
E.
yearRound
Indicates that the relationship, condition, or activity holds continuously throughout the entire year without seasonal interruption.
- 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_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: May 1, 2026, 1:49 a.m.