Triple
T8367593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Crown Productions |
E197171
|
entity |
| Predicate | roleInBeastsOfNoNation |
P82335
|
FINISHED |
| Object | production company |
—
|
LITERAL 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: production company | Statement: [Red Crown Productions, roleInBeastsOfNoNation, production company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBeastsOfNoNation Context triple: [Red Crown Productions, roleInBeastsOfNoNation, production company]
-
A.
prisonRole
Indicates a role or function that an entity holds within the context or system of a prison.
-
B.
roleInGang
Indicates that an entity holds a specific position or function within a gang organization.
-
C.
roleDuringBlackHawkWar
Indicates the specific role, position, or function an entity held during the Black Hawk War.
-
D.
roleInCrime
Indicates the specific function, responsibility, or participation an entity has within the commission of a particular crime.
-
E.
roleInHorribleBosses
Indicates that an entity has a specific acting role or character appearance in the movie "Horrible Bosses."
- F. None of above. chosen
Provenance (4 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808e56fc81908b5d37482f29452d |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6 p.m.