Triple
T35579456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Lindstrom |
E1028177
|
entity |
| Predicate | neverAppearsOnScreenIn |
P134685
|
FINISHED |
| Object | The Mary Tyler Moore Show |
—
|
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: The Mary Tyler Moore Show | Statement: [Lars Lindstrom, neverAppearsOnScreenIn, The Mary Tyler Moore Show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neverAppearsOnScreenIn Context triple: [Lars Lindstrom, neverAppearsOnScreenIn, The Mary Tyler Moore Show]
-
A.
neverSeenOnCamera
Indicates that the subject has not appeared or been captured in any recorded visual media or footage.
-
B.
appearsOffScreen
chosen
Indicates that the entity is present in the scene but not currently visible within the on-screen viewing area.
-
C.
neverRepresentedBy
Indicates that one entity has at no time been represented or acted on behalf of by the other entity.
-
D.
neverCapturedBy
Indicates that one entity has never been apprehended, seized, or taken into custody by another entity at any point in time.
-
E.
neverCaptured
Indicates that the subject has not at any time been apprehended, seized, or taken into custody by another entity.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.