Triple
T237356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad Ali Jinnah |
E4849
|
entity |
| Predicate | termAsLeaguePresidentStart |
P1814
|
FINISHED |
| Object | 1913 |
—
|
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: 1913 | Statement: [Muhammad Ali Jinnah, termAsLeaguePresidentStart, 1913]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsLeaguePresidentStart Context triple: [Muhammad Ali Jinnah, termAsLeaguePresidentStart, 1913]
-
A.
officeHolderStartTime
chosen
Indicates the date and time at which an individual begins holding a particular office or position.
-
B.
setsTermOfOfficeFor
Indicates that one entity establishes or defines the duration and conditions of the term of office for another entity.
-
C.
inauguralHolderStartDate
Indicates the date on which the first person or entity to hold a position, title, or role officially began their tenure.
-
D.
inauguralSeason
Indicates the first season in which an entity (such as a team, league, or event) officially began participating or operating.
-
E.
headCoachStartYear
Indicates the year in which an individual began serving as the head coach of a team or organization.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b5f27208190ae13f34037fe582b |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.