Triple
T18285619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third |
E437973
|
entity |
| Predicate | studentCharacterPoliticalOrientation |
P16609
|
FINISHED |
| Object | conservative |
—
|
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: conservative | Statement: [Third, studentCharacterPoliticalOrientation, conservative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentCharacterPoliticalOrientation Context triple: [Third, studentCharacterPoliticalOrientation, conservative]
-
A.
protagonistPoliticalAffiliation
Indicates the political party, ideology, or movement with which the protagonist is aligned or identified.
-
B.
ideologicalCharacter
Indicates a relationship where one entity embodies, expresses, or is defined by a particular ideology or set of ideological traits.
-
C.
childPoliticalAffiliation
Indicates that a child has a particular political affiliation or alignment.
-
D.
associatedWithPoliticalAlignment
Indicates a relationship where an entity is connected to, supports, or is characterized by a particular political ideology, party, or alignment.
-
E.
politicalIdentity
chosen
Indicates the political affiliation, ideology, or stance that characterizes an entity’s position within a political spectrum or system.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fa2f308190a4744a4ed630b8d9 |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.