Triple
T12970067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Seaver |
E321367
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Neal Marlens |
E291089
|
NE 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: Neal Marlens | Statement: [Carol Seaver, createdBy, Neal Marlens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neal Marlens Context triple: [Carol Seaver, createdBy, Neal Marlens]
-
A.
Neal Marlens
chosen
Neal Marlens is an American television producer and writer best known for co-creating the acclaimed coming-of-age series "The Wonder Years."
-
B.
Jay Jopling
Jay Jopling is a prominent British art dealer and founder of the influential White Cube gallery, known for representing leading contemporary artists.
-
C.
Michael Nelson
Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
-
D.
Andrew Morris
Andrew Morris is the central protagonist of the animated film "Ron's Gone Wrong," a socially awkward middle-schooler whose malfunctioning robot friend helps him navigate friendship and growing up.
-
E.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e407e5081909424fc0c22483c28 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f2cc588190bb771f999cd5fd46 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:34 p.m.