Triple
T12085847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Styles: Live on Tour |
E287804
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | MUNA |
E798614
|
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: MUNA | Statement: [Harry Styles: Live on Tour, associatedAct, MUNA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MUNA Context triple: [Harry Styles: Live on Tour, associatedAct, MUNA]
-
A.
MUNA
chosen
MUNA is an American indie pop band known for their emotionally charged, queer-inclusive synth-pop anthems and dynamic live performances.
-
B.
MUNA
MUNA is a national museum in El Salvador dedicated to preserving and showcasing the country’s anthropological and cultural heritage.
-
C.
Almay
Almay is a cosmetics and skincare brand known for its hypoallergenic, dermatologist-tested products designed for sensitive skin.
-
D.
Nexxus
Nexxus is a professional hair care brand known for its salon-quality shampoos, conditioners, and styling products.
-
E.
Remedios the Beauty
Remedios the Beauty is a strikingly beautiful and enigmatic member of the Buendía family in Gabriel García Márquez’s novel "One Hundred Years of Solitude," known for her innocence, otherworldly aura, and miraculous ascension to heaven.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91514c78c8190bc1cd569e524e8b4 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f668eff88190877ce9bb991c1258 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.