Triple
T4652900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Muzquiz |
E102337
|
entity |
| Predicate | firstMeets |
P58222
|
FINISHED |
| Object | Tita De la Garza at the De la Garza ranch |
—
|
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: Tita De la Garza at the De la Garza ranch | Statement: [Pedro Muzquiz, firstMeets, Tita De la Garza at the De la Garza ranch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeets Context triple: [Pedro Muzquiz, firstMeets, Tita De la Garza at the De la Garza ranch]
-
A.
firstMeetingSeason
Indicates the season of the year during which two entities first met.
-
B.
firstMeetingScore
Indicates the evaluated quality or outcome of an entity’s initial meeting or first interaction with another entity.
-
C.
firstMeetingYear
Indicates the calendar year in which two entities first met or had their initial encounter.
-
D.
meetsAs
Indicates that two entities encounter or come together at the same place and time, typically in a planned or recognized interaction.
-
E.
meets
Indicates that two or more entities come together at the same place and time, typically for interaction or a shared purpose.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6314883481908f085a7af497b0d8 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:14 p.m.