Triple
T3121648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleep Now in the Fire |
E65197
|
entity |
| Predicate | recordLabel |
P1500
|
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: [Sleep Now in the Fire, recordLabel, Epic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epic Context triple: [Sleep Now in the Fire, recordLabel, Epic]
-
A.
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.
-
B.
Epip
Epip is a summer month in the Coptic calendar, roughly corresponding to July in the Gregorian calendar.
-
C.
Homeric epics
The Homeric epics are ancient Greek epic poems, chiefly the Iliad and the Odyssey, traditionally attributed to Homer and foundational to Greek literature, mythology, and cultural identity.
-
D.
Epic Cycle
The Epic Cycle is a collection of ancient Greek epic poems that together narrate the full mythological saga of the Trojan War and its aftermath beyond what is covered in Homer’s Iliad and Odyssey.
-
E.
Regal
Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52ab05c819088204bbb608c837c |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224cf54088190a069b4eef0a5f7d2 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.