Triple
T9131861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rahway Road Productions |
E219104
|
entity |
| Predicate | roleInDa5Bloods |
P87294
|
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: [Rahway Road Productions, roleInDa5Bloods, production company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDa5Bloods Context triple: [Rahway Road Productions, roleInDa5Bloods, production company]
-
A.
roleInGang
Indicates that an entity holds a specific position or function within a gang organization.
-
B.
roleInBeastsOfNoNation
Indicates that an entity has a role or participation in the film "Beasts of No Nation."
-
C.
roleInCrime
Indicates the specific function, responsibility, or participation an entity has within the commission of a particular crime.
-
D.
roleInSyriana
Indicates that one entity has a specific role or involvement in the context of "Syriana," such as participation, function, or contribution related to it.
-
E.
roleInCreed
Indicates that an entity holds a specific role or function within a particular creed, doctrine, or belief system.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8db7d808190bd22b0e5a6f9c285 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:18 p.m.