Triple
T34181866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank T.J. Mackey |
E876841
|
entity |
| Predicate | filmFeaturesSongwriter |
P92748
|
FINISHED |
| Object | Aimee Mann |
—
|
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: Aimee Mann | Statement: [Frank T.J. Mackey, filmFeaturesSongwriter, Aimee Mann]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmFeaturesSongwriter Context triple: [Frank T.J. Mackey, filmFeaturesSongwriter, Aimee Mann]
-
A.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
B.
filmDirectorOfSong
Indicates that a person is the director of the music video or filmed version associated with a particular song.
-
C.
songwriterNationalityFeatured
Indicates that the featured songwriter in a work has the specified nationality.
-
D.
soundtrackLyricist
chosen
Indicates that a person is the lyricist who wrote the words for the soundtrack of a work (such as a film, show, or game).
-
E.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7100635d481909a201b11a27f181b |
completed | May 3, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.