Triple
T17964808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Lindheim |
E449174
|
entity |
| Predicate | hasCreatedWorkIn |
P67599
|
FINISHED |
| Object | scripted television series |
—
|
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: scripted television series | Statement: [Richard Lindheim, hasCreatedWorkIn, scripted television series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreatedWorkIn Context triple: [Richard Lindheim, hasCreatedWorkIn, scripted television series]
-
A.
hasCreatedWorksFor
Indicates that one entity has produced or created works (such as art, documents, or products) on behalf of or for the benefit of another entity.
-
B.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
-
C.
hasWorkDedicatedTo
Indicates that one entity has a work (such as a book, artwork, or composition) that is formally dedicated to another entity.
-
D.
hasCommissionedWork
Indicates that one entity has formally requested and authorized another entity to create a specific work, typically in exchange for payment or agreed consideration.
-
E.
hasWorkProduct
chosen
Indicates that one entity produces, creates, or is responsible for a particular work product or output associated with it.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b136e4088190ac97fd92dc84a4b9 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.