Triple
T23233070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poison (album) |
E581213
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Wolf & Epic |
E431849
|
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: Wolf & Epic | Statement: [Poison (album), producer, Wolf & Epic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolf & Epic Context triple: [Poison (album), producer, Wolf & Epic]
-
A.
Wolf & Epic
chosen
Wolf & Epic is a music production duo best known for their work on the track "What Comes Naturally."
-
B.
Iron Wolf
Iron Wolf was a stand-up steel roller coaster at Six Flags Great America known for its intense, compact layout and head-rattling ride experience.
-
C.
Wölfi
Wölfi is a diminutive, affectionate form of the German given name Wolfgang, often used as a nickname.
-
D.
Epic Stork
Epic Stork is Epic Systems’ obstetrics and maternity care module used by hospitals to manage pregnancy, labor, delivery, and newborn documentation within the Epic electronic health record system.
-
E.
Warhorses
Warhorses is the mascot and athletic team name representing Charles D. Owen High School’s sports teams.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e70b2c8190abede6e3cd9344f7 |
completed | April 29, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f59de808190afb414450ac32d0d |
completed | May 19, 2026, 10:45 a.m. |
Created at: April 17, 2026, 4:09 p.m.