Triple
T28822308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Reagan |
E727801
|
entity |
| Predicate | alignmentWithLeo |
P165634
|
FINISHED |
| Object | shifts between loyalty and opposition |
—
|
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: shifts between loyalty and opposition | Statement: [Tom Reagan, alignmentWithLeo, shifts between loyalty and opposition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentWithLeo Context triple: [Tom Reagan, alignmentWithLeo, shifts between loyalty and opposition]
-
A.
alignmentLeader
Indicates that one entity serves as the primary leader or guiding figure responsible for directing or coordinating the alignment of others.
-
B.
alignmentWithLaw
Indicates the degree to which an action, policy, or entity conforms to or complies with applicable laws or legal standards.
-
C.
alignedAgainst
Indicates that two or more entities are united in opposition to a common target, side, or objective.
-
D.
alignmentGoal
Indicates that an entity has a desired or target alignment state it aims to achieve or maintain.
-
E.
astronomicalAlignmentWith
Indicates a spatial or temporal arrangement in which two or more astronomical bodies or reference points line up along a common axis or direction.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:35 a.m.