Triple
T24204292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love New York |
E600060
|
entity |
| Predicate | featuresContestantSelectionBy |
P155190
|
FINISHED |
| Object | Tiffany Pollard |
—
|
NE NERFINISHED |
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: Tiffany Pollard | Statement: [I Love New York, featuresContestantSelectionBy, Tiffany Pollard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresContestantSelectionBy Context triple: [I Love New York, featuresContestantSelectionBy, Tiffany Pollard]
-
A.
featuresContestantsFrom
Indicates that something, typically a show or event, includes contestants originating from a specified source or group.
-
B.
featuresContestants
Indicates that something (such as an event, show, or competition) includes or presents certain individuals as contestants.
-
C.
contestantOn
Indicates that one entity participates as a competitor in a contest, show, or competition associated with another entity.
-
D.
featuresCompetitionIn
Indicates that something includes or presents a particular competition as part of its content or structure.
-
E.
featuredCandidate
Indicates that a particular candidate is highlighted or given special prominence relative to others.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca38c148190ae65cd692567d43d |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:37 p.m.