Triple
T10599341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Script Ohio |
E275700
|
entity |
| Predicate | fanReaction |
P38677
|
FINISHED |
| Object | standing ovation |
—
|
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: standing ovation | Statement: [Script Ohio, fanReaction, standing ovation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanReaction Context triple: [Script Ohio, fanReaction, standing ovation]
-
A.
reaction
Indicates a chemical or physical process in which one set of substances or conditions transforms into another, often involving interaction, change, or response between entities.
-
B.
featuresReaction
Indicates that one entity exhibits, displays, or includes a particular reaction associated with another entity or context.
-
C.
fanInvolved
Indicates that a fan actively participates in or is directly involved with a particular event, activity, or interaction.
-
D.
relatedReaction
Indicates that one reaction is connected or associated with another reaction in some relevant way.
-
E.
fandomReception
chosen
Indicates how a work, character, or creator is perceived, evaluated, and responded to by its fan community.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4992248190b640d743ccf02c82 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
Created at: April 8, 2026, 7:30 p.m.