Triple
T33803926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Child (Mark Owen song) |
E866327
|
entity |
| Predicate | hasSuccessorSingleBySameArtist |
P144412
|
FINISHED |
| Object | Clementine (Mark Owen song) |
—
|
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: Clementine (Mark Owen song) | Statement: [Child (Mark Owen song), hasSuccessorSingleBySameArtist, Clementine (Mark Owen song)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuccessorSingleBySameArtist Context triple: [Child (Mark Owen song), hasSuccessorSingleBySameArtist, Clementine (Mark Owen song)]
-
A.
followedBySingleArtist
Indicates that one artist directly succeeds another as the sole following artist in a sequence or ordering.
-
B.
nextWorkBySameArtist
chosen
Indicates that one work immediately follows another in sequence and is created by the same artist.
-
C.
precededBySingleArtist
Indicates that the subject entity is immediately preceded by exactly one artist in a sequence or ordering.
-
D.
hasSequelSong
Indicates that one song serves as a sequel or follow-up to another song, continuing or expanding its themes, story, or musical ideas.
-
E.
hasSiblingArtists
Indicates that the entities are siblings who are both artists or involved in artistic professions.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff6ef0d61c81909162d37c15a1a3c3 |
completed | May 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ff6c6a58e08190921317062cd9d489 |
completed | May 9, 2026, 5:18 p.m. |
Created at: May 1, 2026, 1:46 a.m.