Triple
T16994864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Machine |
E412287
|
entity |
| Predicate | roleOfTedHope |
P126089
|
FINISHED |
| Object | producer |
—
|
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: producer | Statement: [Good Machine, roleOfTedHope, producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfTedHope Context triple: [Good Machine, roleOfTedHope, producer]
-
A.
relationshipToTedKramer
Indicates the specific interpersonal or familial relationship that an entity has with Ted Kramer.
-
B.
roleOfChrisEdwards
Indicates that Chris Edwards holds or performs a particular role or function in relation to another entity.
-
C.
Jack Hively
Indicates a relationship or action involving the person named Jack Hively, such as authorship, direction, or participation in a work or event.
-
D.
HodRole
Indicates that an entity holds the role or position of Head of Department (HOD) in relation to a specified department or organizational unit.
-
E.
roleOfEdCassidy
Indicates that the specified role is one that Ed Cassidy holds or performs.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d285f35881908c32b2f27ba7f0ac |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.