Triple
T1253014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music Box |
E26919
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Hero |
E143690
|
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: Hero | Statement: [Music Box, track, Hero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hero Context triple: [Music Box, track, Hero]
-
A.
Hero
chosen
"Hero" is a song best known as the lead single from the music project Music Box.
-
B.
Hero
Hero is a 2006 self-help book by Rhonda Byrne that expands on the ideas of "The Secret" by focusing on personal journeys toward achieving one's dreams and potential.
-
C.
Heroes
Heroes is a non-fiction book by journalist John Pilger that critically examines political power, media complicity, and the individuals who resist oppression around the world.
-
D.
He
He is a common Chinese surname borne by numerous notable figures across politics, military, arts, and academia.
-
E.
The Protagonist
The Protagonist is the unnamed, time-inverting secret agent who drives the complex temporal espionage narrative in Christopher Nolan’s film "Tenet."
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf875cf48190b6781d41097ee39b |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac9980a2a4819094ab26ac390476be |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:47 p.m.