Triple
T36341833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who (Sunny song) |
E894944
|
entity |
| Predicate | usesWordClassInTitle |
P130638
|
FINISHED |
| Object | interrogative pronoun |
—
|
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: interrogative pronoun | Statement: [Who (Sunny song), usesWordClassInTitle, interrogative pronoun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWordClassInTitle Context triple: [Who (Sunny song), usesWordClassInTitle, interrogative pronoun]
-
A.
usesTitleIn
Indicates that an entity is referred to using a particular title within a specified context or medium.
-
B.
titleWordType
chosen
Indicates the type or category of a word as it appears within a title (e.g., whether it functions as a main title word, subtitle word, or another specific role).
-
C.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
D.
usedTitleIn
Indicates that one entity employed or referenced another entity as a title in some context.
-
E.
isOneWordTitle
Indicates that the title consists of exactly one word.
- 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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.