Triple
T19053686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Kenney |
E466332
|
entity |
| Predicate | hasCreator |
P806
|
FINISHED |
| Object | Adam Griffin |
—
|
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: Adam Griffin | Statement: [Carol Kenney, hasCreator, Adam Griffin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Griffin Context triple: [Carol Kenney, hasCreator, Adam Griffin]
-
A.
Adam Griffin
chosen
Adam Griffin is a television producer best known for his executive production work on the sitcom "Carol's Second Act."
-
B.
Stewart Gilligan Griffin
Stewart Gilligan "Stewie" Griffin is a fictional infant prodigy and the diabolically intelligent youngest member of the Griffin family on the animated television series Family Guy.
-
C.
Tony Griffin
Tony Griffin is an American actor, writer, and producer best known as the son of television host and media mogul Merv Griffin.
-
D.
Andrew Dawson
Andrew Dawson is a music producer and audio engineer known for his work on major hip-hop and pop records, including projects with artists like Kanye West.
-
E.
Andrew Dawson
Andrew Dawson is a writer known for his work on the project "What Would Meek Do?".
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc03dfa08190924a1b8073364fa1 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.