Triple
T27965805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Could Just Be Love |
E704713
|
entity |
| Predicate | recordingArtistLaterKnownAs |
P179478
|
FINISHED |
| Object | Blaster the Rocket Man |
—
|
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: Blaster the Rocket Man | Statement: [It Could Just Be Love, recordingArtistLaterKnownAs, Blaster the Rocket Man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingArtistLaterKnownAs Context triple: [It Could Just Be Love, recordingArtistLaterKnownAs, Blaster the Rocket Man]
-
A.
mainArtistLaterCameOutAs
Indicates that the primary artist associated with something was later publicly revealed or self-identified as a particular sexual orientation or gender identity.
-
B.
famousRecordingArtist
Indicates that a person is widely recognized and acclaimed as a professional music recording artist.
-
C.
hasArtistCurrentName
Indicates that the specified name is the artist’s current, officially used name.
-
D.
recordingArtistName
Indicates the name of the artist who performed or created a particular recording.
-
E.
notableFormerArtist
Indicates that the subject was previously an artist associated with the object and is recognized as notable in that former artistic role.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 27, 2026, 7:35 p.m.