Triple
T23425211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vs. (Pearl Jam album) |
E560774
|
entity |
| Predicate | containsSong |
P20452
|
FINISHED |
| Object | Daughter |
—
|
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: Daughter | Statement: [Vs. (Pearl Jam album), containsSong, Daughter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daughter Context triple: [Vs. (Pearl Jam album), containsSong, Daughter]
-
A.
Daughter
chosen
"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
Daughter is an English indie folk and ambient rock band known for its atmospheric soundscapes and introspective, melancholic lyrics.
-
C.
Daughter
"Daughter" is an Iranian drama film by director Reza Mirkarimi that explores family tensions and generational conflict within a traditional society.
-
D.
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.
-
E.
His Daughter
"His Daughter" is a literary work by Israeli author Yoram Kaniuk, reflecting his characteristic blend of personal narrative, existential themes, and innovative storytelling.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54951688190a3c5382971af3e41 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:47 p.m.