Triple
T12357774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Analyze That |
E294654
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Craig Herring |
E385777
|
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: Craig Herring | Statement: [Analyze That, editedBy, Craig Herring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Herring Context triple: [Analyze That, editedBy, Craig Herring]
-
A.
Craig Herring
chosen
Craig Herring is a film editor best known for his work on the comedy crime film "Analyze This."
-
B.
Graham Crowden
Graham Crowden was a British character actor known for his eccentric, often darkly comic roles in film and television, including notable performances in works like "If....", "A Very Peculiar Practice", and "Waiting for God."
-
C.
Richard Holbrook
Richard Holbrook is a notable individual recognized for achievements significant enough to be associated with the surname Holbrook.
-
D.
John Ales
John Ales is an American actor known for his character roles in film and television, including a notable appearance in the comedy film "The Nutty Professor" (1996).
-
E.
Chris Cattrall
Chris Cattrall is a sibling of actress Kim Cattrall, known primarily in relation to her.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8e64dc81908c2242c68cd1b86e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef437d08190b09132fa090504a5 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:54 p.m.