Triple
T2010258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue |
E43672
|
entity |
| Predicate | containsAutobiographicalElements |
P19920
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Blue, containsAutobiographicalElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsAutobiographicalElements Context triple: [Blue, containsAutobiographicalElements, true]
-
A.
hasAutobiographicalElements
chosen
Indicates that something, such as a work or narrative, contains elements drawn from the creator’s own life or personal experiences.
-
B.
hasPartInBiography
Indicates that a person or entity is featured or plays a role within someone’s biographical account.
-
C.
isThirdAutobiographyOf
Indicates that one work is the third autobiography written by or about a particular person or entity in a sequence of autobiographical works.
-
D.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
E.
hasDramaticElements
Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8afe6f8819092679c86d1f2d041 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.