Triple
T32363203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heated |
E826919
|
entity |
| Predicate | featuresSpokenSection |
P202911
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Heated, featuresSpokenSection, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSpokenSection Context triple: [Heated, featuresSpokenSection, yes]
-
A.
featuresSpokenVerses
Indicates that something includes or presents spoken verses as a notable component or element.
-
B.
featuresStringSection
Indicates that an entity includes or is associated with a specific section of text represented as a string.
-
C.
sectionNarrator
Indicates that a given entity serves as the narrator or narrative voice for a particular section of a work.
-
D.
featuresSegment
Indicates that one entity includes or highlights a particular segment or portion of another entity as a notable part of it.
-
E.
speechContent
Indicates that one entity expresses, conveys, or contains the spoken or written content associated with another entity’s act of speaking or communication.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00cda99c908190980e0bf54cb2e2a4 |
completed | May 10, 2026, 6:25 p.m. |
| PD | Predicate disambiguation | batch_6a00cd1635b08190a791ecfcf87a1d54 |
completed | May 10, 2026, 6:23 p.m. |
| PDg | Predicate description generation | batch_6a00cda8ed348190950ee34bb24ae65b |
completed | May 10, 2026, 6:25 p.m. |
Created at: May 1, 2026, 12:50 a.m.