Triple
T15355185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We're the Millers |
E367153
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Steve Faber |
E401244
|
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: Steve Faber | Statement: [We're the Millers, storyBy, Steve Faber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Faber Context triple: [We're the Millers, storyBy, Steve Faber]
-
A.
Steve Faber
chosen
Steve Faber is an American screenwriter best known for co-writing the hit comedy film "Wedding Crashers."
-
B.
Steve Ferrone
Steve Ferrone is an English drummer best known for his long tenure with Tom Petty and the Heartbreakers as well as his extensive work as a session and touring musician.
-
C.
Dan Fagan
Dan Fagan is a notable individual recognized for achievements associated with the surname Fagan.
-
D.
Josh Futturman
Josh Futturman is the slacker janitor-turned-time-traveling hero played by Josh Hutcherson in the sci-fi comedy series "Future Man."
-
E.
Greg Finton
Greg Finton is a film editor known for his work on documentaries and feature films, including the acclaimed documentary "He Named Me Malala."
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b45e3048190a7fa62ead6916fed |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.