Triple
T24889683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Pérez |
E622961
|
entity |
| Predicate | brieflyDates |
P157444
|
FINISHED |
| Object | Margo Gru |
—
|
NE NERFINISHED |
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: Margo Gru | Statement: [Antonio Pérez, brieflyDates, Margo Gru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brieflyDates Context triple: [Antonio Pérez, brieflyDates, Margo Gru]
-
A.
typicalDates
Indicates the usual or standard dates during which something typically occurs, is valid, or is scheduled.
-
B.
preDates
Indicates that one entity existed, occurred, or was established earlier in time than another entity.
-
C.
dateDescription
Indicates a textual description or label that characterizes the nature, context, or details of a particular date or dating event between entities.
-
D.
dateOf
Indicates that one entity specifies the calendar date associated with another entity, such as when it occurred, was created, or is scheduled.
-
E.
recommendedDate
Indicates the date on which something is advised or suggested to occur, be used, or be acted upon.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:25 a.m.