Triple
T25975554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Antonio Carrillo |
E645926
|
entity |
| Predicate | officeHeldNumberOfTimes |
P178000
|
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: [José Antonio Carrillo, officeHeldNumberOfTimes, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHeldNumberOfTimes Context triple: [José Antonio Carrillo, officeHeldNumberOfTimes, 3]
-
A.
officeHeldWithNumber
Indicates that an entity holds a specific office or position together with an associated ordinal or numerical designation (e.g., first term, second office number).
-
B.
officeHeldDuring
Indicates that a person occupied a specific official position during a particular time period.
-
C.
officeHeldOf
Indicates that a specific office or position is (or was) held by a particular person or entity.
-
D.
officeHeldByMember
Indicates that a specific office or position is held or occupied by a particular member.
-
E.
officeHeldByMembers
Indicates that a particular office or position is held by one or more members of a specified group or organization.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 22, 2026, 8:51 a.m.