Triple
T8336345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blown Deadline Productions |
E195795
|
entity |
| Predicate | roleOfAssociatedPerson |
P2830
|
FINISHED |
| Object | creator of "The Wire" |
—
|
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: creator of "The Wire" | Statement: [Blown Deadline Productions, roleOfAssociatedPerson, creator of "The Wire"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfAssociatedPerson Context triple: [Blown Deadline Productions, roleOfAssociatedPerson, creator of "The Wire"]
-
A.
beneficiaryRole
Indicates that one entity serves as the beneficiary or recipient of an action, service, or resource provided by another entity.
-
B.
isAssociatedWithProfessionOfBearer
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
-
C.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
D.
leaderAssociatedWith
Indicates a relationship where a leader is connected or affiliated with a particular entity, such as an organization, group, or cause.
-
E.
roleInAppointments
Indicates the specific function or capacity an entity holds within one or more scheduled appointments.
- F. None of above.
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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd3fc80819097b326119107ad4d |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.