Triple
T7343835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trump presidential transition |
E169323
|
entity |
| Predicate | agencyReviewLead |
P76697
|
FINISHED |
| Object | Heritage Foundation–linked personnel |
—
|
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: Heritage Foundation–linked personnel | Statement: [Trump presidential transition, agencyReviewLead, Heritage Foundation–linked personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agencyReviewLead Context triple: [Trump presidential transition, agencyReviewLead, Heritage Foundation–linked personnel]
-
A.
helpsLead
Indicates that one entity assists or contributes to another entity’s act of leading or guiding.
-
B.
leadsInto
Indicates that one entity serves as an entry or transition point that directly connects or opens into another entity.
-
C.
leadHijacker
Indicates that one entity is the primary organizer or chief perpetrator among a group of hijackers involved in a hijacking event.
-
D.
leadNation
Indicates that one entity holds the primary leadership role or governing authority over a nation.
-
E.
leadProduct
Indicates that one entity serves as the primary or main product associated with another entity, such as a company, campaign, or offering.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1379cac81908b35e617c44c7b13 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:04 p.m.