Triple
T16887494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Wedge |
E421575
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Epic |
E352292
|
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: Epic | Statement: [Chris Wedge, directed, Epic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epic Context triple: [Chris Wedge, directed, Epic]
-
A.
Epic
Epic is a major American record label known for signing and promoting a wide range of influential artists across pop, rock, R&B, and hip-hop.
-
B.
Epic
chosen
Epic is a 2013 animated fantasy-adventure film that follows a teenage girl who is transported to a secret forest world where she helps tiny warriors protect nature from destructive forces.
-
C.
Epic
Epic is a prominent ski and snowboard pass brand offering access to a wide network of resorts owned or operated by Vail Resorts.
-
D.
EPIC
EPIC is the acronym for End Poverty in California, a social and political initiative focused on eliminating poverty within the state.
-
E.
EPIC
EPIC is the official photo identity card issued by the Election Commission of India to eligible voters for identification during elections.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc1f42481909dcf595358c23497 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2befaa88190ba83dc17aa66b541 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.