Triple
T2091916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 20th Television |
E32688
|
entity |
| Predicate | notableWork |
P4
|
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: [20th Television, notableWork, Empire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Empire Context triple: [20th Television, notableWork, 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
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.
-
D.
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.
-
E.
Empire series
The Empire series is a set of early science fiction novels by Isaac Asimov that explore a future Galactic Empire and form part of the larger universe linking his Robot and Foundation stories.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba7626d081908c9c0f18942e128d |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2746fb3481909e0b7fdbd4748245 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:43 p.m.