Triple
T30598361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Augments |
E778843
|
entity |
| Predicate | guestActorRole |
P80078
|
FINISHED |
| Object | Brent Spiner as Dr. Arik Soong |
—
|
NE NERFINISHED |
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: Brent Spiner as Dr. Arik Soong | Statement: [The Augments, guestActorRole, Brent Spiner as Dr. Arik Soong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guestActorRole Context triple: [The Augments, guestActorRole, Brent Spiner as Dr. Arik Soong]
-
A.
guestRole
chosen
Indicates that one entity participates in or is associated with another entity in the capacity of a guest, specifying the nature or type of that guest participation.
-
B.
bookingRole
Indicates the role or capacity an entity has in relation to a booking (e.g., who made, manages, or is responsible for the booking).
-
C.
actorRole
Indicates that an entity participates in an event or action in a specific capacity or function (such as performer, initiator, or responsible party).
-
D.
agentRole
Indicates that one entity participates in an action or event by fulfilling a specific role or function as its agent.
-
E.
theaterRole
Indicates that an entity holds or performs a specific role or character in a theatrical production in relation to another entity (such as a play or performance).
- 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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68980c15881908953e50e05fc87e4 |
completed | May 2, 2026, 11:32 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:24 p.m.