Triple
T6280964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucious Lyon |
E140779
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Empire |
E26334
|
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: Empire | Statement: [Lucious Lyon, appearsIn, Empire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Empire Context triple: [Lucious Lyon, appearsIn, Empire]
-
A.
Empire
Empire is a small unincorporated community located in Stanislaus County in California’s Central Valley.
-
B.
Empire
Empire is a post-exploitation and command-and-control framework commonly used for penetration testing and red team operations.
-
C.
Empire
"Empire" is a song by the Icelandic indie folk/pop band Of Monsters and Men, known for its atmospheric sound and evocative storytelling.
-
D.
Empire
chosen
Empire is a popular American musical drama television series that follows the power struggles and family dynamics within a hip-hop music and entertainment company.
-
E.
Empire
Empire is Andy Warhol’s 1964 avant-garde experimental film consisting of an extended, stationary shot of the Empire State Building, notable for its extreme duration and minimalist style.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dee62881908347283f16dcbe68 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6385c26f08190952d810a82b9236f |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:26 p.m.