Triple
T28123081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tajōmaru |
E710845
|
entity |
| Predicate | testimonyCharacteristic |
P164566
|
FINISHED |
| Object | self-justifying |
—
|
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: self-justifying | Statement: [Tajōmaru, testimonyCharacteristic, self-justifying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testimonyCharacteristic Context triple: [Tajōmaru, testimonyCharacteristic, self-justifying]
-
A.
testimonyAffects
Indicates that one party’s testimony has an influence or impact on another entity, situation, or outcome.
-
B.
hasTestimony
Indicates that an entity provides, contains, or is associated with a formal statement or account (testimony) about another entity or event.
-
C.
gaveTestimonyIn
Indicates that one entity provided formal testimony or a statement in an official proceeding, event, or context associated with another entity.
-
D.
recordCharacteristic
Indicates that an entity documents or stores a specific characteristic or attribute of another entity.
-
E.
testimonyTopic
Indicates that the content or subject matter of a given testimony is about a specified topic.
- 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_69ef9b73bd288190a21ae3d6aa14f386 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f64e6e8c9081908ce4d364aa26147a |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64db8ee1881909362701d72ffe282 |
completed | May 2, 2026, 7:17 p.m. |
Created at: April 27, 2026, 9:18 p.m.