Triple
T10008601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4AD |
E198312
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object | Daughter |
E225659
|
NE FINISHED |
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: Daughter | Statement: [4AD, notableArtist, Daughter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daughter Context triple: [4AD, notableArtist, Daughter]
-
A.
Daughter
"Daughter" is a widely acclaimed 1993 rock song by American band Pearl Jam, known for its emotive lyrics and prominent place in their live performances.
-
B.
Daughter
chosen
Daughter is an English indie folk and ambient rock band known for its atmospheric soundscapes and introspective, melancholic lyrics.
-
C.
Daughters
"Daughters" is a Grammy-winning soft rock ballad by John Mayer that reflects on the lasting impact of a father's relationship with his daughter.
-
D.
Daddy
"Daddy" is a critically acclaimed 1989 Indian drama film featuring Anupam Kher in one of his most celebrated roles, portraying an alcoholic father seeking redemption and reconciliation with his daughter.
-
E.
Daddy
"Daddy" is a song featured on the album *Wanderland* by American singer-songwriter Kelis.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd38659c8190830d223edbfd74ec |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a683c208190a79ebc2e6ec5893c |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.