Triple
T31317259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Fairbrass |
E798628
|
entity |
| Predicate | hasHitSongWith |
P138261
|
FINISHED |
| Object | "I'm Too Sexy" |
—
|
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: "I'm Too Sexy" | Statement: [Fred Fairbrass, hasHitSongWith, "I'm Too Sexy"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHitSongWith Context triple: [Fred Fairbrass, hasHitSongWith, "I'm Too Sexy"]
-
A.
hasSong
Indicates that one entity possesses, features, or includes a particular song.
-
B.
containsSongWithHitStatus
chosen
Indicates that an entity includes at least one song whose status qualifies it as a "hit" (e.g., popular or commercially successful).
-
C.
hasHitSingleOnChart
Indicates that an entity (such as an artist or song) has achieved at least one single that appeared on a specified music chart.
-
D.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
-
E.
hasBeat
Indicates that one entity has defeated or surpassed another in a competitive or comparative context.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: April 29, 2026, 9:15 p.m.