Triple
T13026371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Nader |
E326317
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Mark Miller |
E1028484
|
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: Mark Miller | Statement: [George Nader, partner, Mark Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Miller Context triple: [George Nader, partner, Mark Miller]
-
A.
Mark Miller
chosen
Mark Miller is an American actor and screenwriter known for his work in film and television from the mid-20th century onward.
-
B.
Nick Miller
Nick Miller is a gruff yet endearing, underachieving bartender and aspiring writer who serves as one of the central roommates and comedic leads in the sitcom "New Girl."
-
C.
Ken Miller
Ken Miller is a laid-back, sarcastic high school student and one of the core "freak" friends in the cult TV series *Freaks and Geeks*.
-
D.
Andrew Miller
Andrew Miller is an American former Major League Baseball relief pitcher known for his dominant left-handed pitching and key postseason performances for multiple teams, including the Cleveland Indians and New York Yankees.
-
E.
Neil Miller
Neil Miller is a skeptical psychiatrist and the stepfather figure who provides comic tension and emotional contrast in the Christmas film "The Santa Clause."
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716b885708190b6c38c481fa9ca21 |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 8:53 p.m.