Triple
T9209879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millard Mitchell |
E221085
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Millard |
E316944
|
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: Millard | Statement: [Millard Mitchell, givenName, Millard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millard Context triple: [Millard Mitchell, givenName, Millard]
-
A.
Millard
chosen
Millard is the given name of Millard Fillmore, the 13th president of the United States.
-
B.
Willard
Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
-
C.
Millard Mitchell
Millard Mitchell was an American character actor known for his supporting roles in classic Hollywood films of the 1940s and 1950s.
-
D.
Mr. Miller
Mr. Miller is a minor supporting character in Terence Rattigan’s postwar drama "The Deep Blue Sea," which explores themes of love, despair, and emotional repression in 1950s Britain.
-
E.
Miles Vernon
Miles Vernon was a prominent early settler and political figure in Missouri after whom Vernon County was named.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065e967508190acb962d37c390d68 |
completed | April 4, 2026, 1:14 a.m. |
Created at: March 30, 2026, 7:26 p.m.