Triple
T16129559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Larkin |
E391358
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chris Larkin |
—
|
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: Chris Larkin | Statement: [Chris Larkin, name, Chris Larkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Larkin Context triple: [Chris Larkin, name, Chris Larkin]
-
A.
Chris Larkin
chosen
Chris Larkin is a British actor known for his work in film, television, and theatre, and for being the son of acclaimed actress Maggie Smith.
-
B.
Brian Latture
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
-
C.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
D.
Eric Millegan
Eric Millegan is an American actor best known for playing Dr. Zack Addy on the television series "Bones."
-
E.
Greg Evigan
Greg Evigan is an American actor best known for his leading roles in the television series "B.J. and the Bear" and "My Two Dads."
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202075860819088d27d921609a6ce |
completed | April 17, 2026, 9:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.