Triple
T3805081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosaura |
E91785
|
entity |
| Predicate | livesDuring |
P3869
|
FINISHED |
| Object | Mexican Revolution era |
—
|
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: Mexican Revolution era | Statement: [Rosaura, livesDuring, Mexican Revolution era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: livesDuring Context triple: [Rosaura, livesDuring, Mexican Revolution era]
-
A.
livedDuring
chosen
Indicates that the subject existed or was alive at some point within the time period or lifespan associated with the object.
-
B.
livedBefore
Indicates that one entity existed or was alive at an earlier time than another entity.
-
C.
inhabitedDuring
Indicates that an entity lived in or occupied a place during a specified time period.
-
D.
ownedDuring
Indicates that one entity possessed or held ownership of another entity for some or all of a specified time interval.
-
E.
laterLivedIn
Indicates that one entity resided in a particular place during a later period of its life, after an earlier residence elsewhere.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.