Triple
T36341839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who (Sunny song) |
E894944
|
entity |
| Predicate | hasSecondLetterOfTitle |
P91787
|
FINISHED |
| Object | h |
—
|
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: h | Statement: [Who (Sunny song), hasSecondLetterOfTitle, h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondLetterOfTitle Context triple: [Who (Sunny song), hasSecondLetterOfTitle, h]
-
A.
hasTitleLetter
chosen
Indicates that an entity possesses a specific letter or character within its title.
-
B.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
C.
hasGivenNameInTitle
Indicates that the given name of an entity appears within the title of another entity.
-
D.
hasTitleCharacterFrom
Indicates that a work has a title that includes or is derived from a specific character.
-
E.
hasAcronymInTitle
Indicates that the title of an entity includes a shortened form or acronym of another specified term or name.
- 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_6a005247dba08190acadf962bcefe4a0 |
completed | May 10, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_6a00519029848190a234358dfba45084 |
completed | May 10, 2026, 9:36 a.m. |
Created at: May 3, 2026, 4:09 p.m.