Triple
T6278982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Listen |
E140733
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Listen |
E140733
|
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: Listen | Statement: [Listen, title, Listen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Listen Context triple: [Listen, title, Listen]
-
A.
Listen
"Listen" is an abstract expressionist painting by American artist Lee Krasner, reflecting her dynamic, gestural style and exploration of emotional intensity through color and form.
-
B.
Listen
chosen
"Listen" is a powerful ballad from the musical film adaptation of *Dreamgirls*, widely recognized for its soaring vocals and themes of self-empowerment and finding one’s own voice.
-
C.
Listen! Listen!
Listen! Listen! is a children's picture book written by Ann Rand, known for its poetic exploration of sounds and everyday experiences.
-
D.
Learn to Listen
"Learn to Listen" is a track by the electronic music duo Brain Drain, known for its atmospheric production and introspective tone.
-
E.
Hear It
Hear It is a track from the album "Song of Seven" by Jon Anderson, known for its melodic, progressive rock style.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dc55d48190b5ed48a50f3a742e |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c519549cf0819096d01c23f6c915eb |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:26 p.m.