Triple
T2220031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B'Day |
E48118
|
entity |
| Predicate | includesTrack |
P3284
|
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: [B'Day, includesTrack, Listen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Listen Context triple: [B'Day, includesTrack, 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.
I Am Listening
"I Am Listening" is a work by acclaimed American playwright and director Moss Hart, known for his influential contributions to 20th-century theater.
-
D.
Tunes
Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
-
E.
Sing
Sing is a 2016 animated musical comedy film featuring a group of anthropomorphic animals who enter a singing competition, produced by Illumination Entertainment.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc01386588190a9507f2969a201ca |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae655df21c8190aa9624f15955c565 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.