Triple
T35828026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Pentangeli |
E1035705
|
entity |
| Predicate | recants |
P184160
|
FINISHED |
| Object | his Senate testimony |
—
|
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: his Senate testimony | Statement: [Frank Pentangeli, recants, his Senate testimony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recants Context triple: [Frank Pentangeli, recants, his Senate testimony]
-
A.
enshrinedWithin
Indicates that one entity is formally preserved, honored, or safeguarded inside or as part of another entity, often with a sense of protection or reverence.
-
B.
otherMonuments
Indicates that there exists a relationship between an entity and additional monuments that are associated with or related to it in some relevant way.
-
C.
notableRelic
Indicates that an entity is a historically or culturally significant relic associated with another entity (such as a place, person, or event).
-
D.
relicsAssociatedWith
Indicates a relationship where certain relics are connected or linked to a particular entity, context, or subject (such as a person, place, event, or tradition).
-
E.
museumHolds
Indicates that a museum possesses, preserves, or has custody of a particular item or collection within its holdings.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.