Triple
T2257920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Want Is You |
E49769
|
entity |
| Predicate | hasPart |
P35
|
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: [All I Want Is You, hasPart, Hero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hero Context triple: [All I Want Is You, hasPart, 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.
Hero Boy
Hero Boy is the unnamed young protagonist of the animated Christmas film "The Polar Express," who embarks on a magical train journey that restores his belief in Santa Claus and the spirit of Christmas.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc15839fc8190b17e040c4c765a8c |
completed | March 7, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71c69f088190a38254a8a3670124 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:48 p.m.