Triple
T6229907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binaural |
E139326
|
entity |
| Predicate | labelImprint |
P2763
|
FINISHED |
| Object | Epic |
E65195
|
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: [Binaural, labelImprint, Epic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epic Context triple: [Binaural, labelImprint, Epic]
-
A.
Epic
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.
-
B.
Epic
chosen
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.
-
C.
EPIC
EPIC is the official photo identity card issued by the Election Commission of India to eligible voters for identification during elections.
-
D.
Epic OpTime
Epic OpTime is Epic Systems’ operating room management module that supports surgical scheduling, documentation, and perioperative workflows within hospitals and health systems.
-
E.
Epic Cadence
Epic Cadence is Epic Systems’ enterprise scheduling application used by healthcare organizations to manage patient appointments and provider calendars.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d9a33c8190b66dbd89e0e3bbba |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20de90ba08190be1e0c44b5b13f53 |
completed | March 24, 2026, 4:07 a.m. |
Created at: March 22, 2026, 4:22 p.m.