Triple
T2945631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago "Pope" Garcia |
E79493
|
entity |
| Predicate | isFormer |
P2575
|
FINISHED |
| Object | Special Forces operative |
—
|
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: Special Forces operative | Statement: [Santiago "Pope" Garcia, isFormer, Special Forces operative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFormer Context triple: [Santiago "Pope" Garcia, isFormer, Special Forces operative]
-
A.
isFormerEntity
chosen
Indicates that an entity previously held a particular status, role, or identity but no longer does so.
-
B.
formerName
Indicates that an entity was previously known by a different name in the past.
-
C.
formerUser
Indicates that an entity was previously a user of another entity or system but is no longer one.
-
D.
hasFormerLeader
Indicates that an entity previously held the role of leader of another entity but no longer does.
-
E.
formerMemberName
Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b2752481908ec6f9a9cc24c0a7 |
completed | March 8, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:56 p.m.