Triple
T15355205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We're the Millers |
E367153
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Rose O'Reilly |
E1190149
|
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: Rose O'Reilly | Statement: [We're the Millers, hasMainCharacter, Rose O'Reilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose O'Reilly Context triple: [We're the Millers, hasMainCharacter, Rose O'Reilly]
-
A.
Rose O'Reilly
chosen
Rose O'Reilly is a cynical, quick-witted stripper who poses as a suburban mom in the comedy film "We're the Millers."
-
B.
Antoinette O’Reilly
Antoinette O’Reilly is best known as the former wife of former Major League Baseball pitcher and current broadcaster Ron Darling.
-
C.
Elizabeth O’Rourke
Elizabeth O’Rourke is best known as the former wife of acclaimed English actor Terence Stamp.
-
D.
Una O'Connor
Una O'Connor was an Irish-born character actress best known for her comic and eccentric supporting roles in classic Hollywood films of the 1930s and 1940s, including "The Invisible Man" and "Bride of Frankenstein."
-
E.
Rachel O’Connor
Rachel O’Connor is a film producer known for her work on the tennis drama movie "Challengers."
- 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_6a007581ba008190a6d558c8f4e861d6 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 3:18 a.m.