Triple
T16677227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josey Scott |
E405242
|
entity |
| Predicate | notableWork |
P4
|
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: [Josey Scott, notableWork, Hero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hero Context triple: [Josey Scott, notableWork, Hero]
-
A.
Hero
Hero is a Finnish television channel known for broadcasting action-packed movies and series, operated alongside Nelonen as part of the same network family.
-
B.
Hero
chosen
"Hero" is a song best known as the lead single from the music project Music Box.
-
C.
Hero
Hero is the gentle, wronged young noblewoman in Shakespeare’s *Much Ado About Nothing*, whose romance and public humiliation drive much of the play’s dramatic tension.
-
D.
Hero
"Hero" is a contemporary gospel album by Kirk Franklin that blends choir-driven worship with R&B and hip-hop influences.
-
E.
Hero
Hero is a visually striking 2002 Chinese wuxia film directed by Zhang Yimou, renowned for its stylized martial arts, color symbolism, and exploration of sacrifice and political unity.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3c79888190b6ddd55b91d97183 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.