Triple
T35200074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Caster |
E1016372
|
entity |
| Predicate | alignmentQuestionedBy |
P182594
|
FINISHED |
| Object | Evelyn Caster |
—
|
NE NERFINISHED |
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: Evelyn Caster | Statement: [Will Caster, alignmentQuestionedBy, Evelyn Caster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentQuestionedBy Context triple: [Will Caster, alignmentQuestionedBy, Evelyn Caster]
-
A.
alignedAgainst
Indicates that two or more entities are united in opposition to a common target, side, or objective.
-
B.
questionedFor
Indicates that one entity is being asked questions or interrogated by another entity, typically for information, clarification, or investigation.
-
C.
questionedFor
Indicates that one entity is being asked questions or interrogated by another, typically for information, clarification, or investigation.
-
D.
alignmentChangedIn
Indicates that an entity’s alignment has been modified within a specified context, process, or time frame.
-
E.
alignmentGoal
Indicates that an entity has a desired or target alignment state it aims to achieve or maintain.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.