Triple
T2719770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Disney Miller |
E60053
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Patrick Miller |
E255309
|
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: Patrick Miller | Statement: [Diane Disney Miller, child, Patrick Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Miller Context triple: [Diane Disney Miller, child, Patrick Miller]
-
A.
Ron Miller
chosen
Ron Miller was an American film and television producer and former president and CEO of The Walt Disney Company, known for overseeing numerous Disney projects in the 1970s and 1980s.
-
B.
Ron Miller
Ron Miller is an American artist and illustrator renowned for his work in science fiction and astronomical art.
-
C.
Dale Miller
Dale Miller is a prominent logician and computer scientist known for his influential work in proof theory, logic programming, and automated reasoning.
-
D.
Paul Millspaugh
Paul Millspaugh is a film editor known for his work on the romantic comedy "Two Can Play That Game."
-
E.
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."
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab06d388190acf690787fe58ab5 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc033d94481908e4709529ab93442 |
completed | March 10, 2026, 6:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.