Triple
T21310164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mildred Brown |
E525308
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mildred |
—
|
NE NERFINISHED |
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: Mildred | Statement: [Mildred Brown, givenName, Mildred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mildred Context triple: [Mildred Brown, givenName, Mildred]
-
A.
Mildred
chosen
Mildred is a feminine given name of English origin that became especially popular in the late 19th and early 20th centuries.
-
B.
Mildred
Mildred is a character in the 1996 drama film "Unhook the Stars," which explores themes of family, independence, and unexpected friendships.
-
C.
Mildred
Mildred is the sharp-tongued, loyal housekeeper and assistant to the titular couple in the 1970s television crime drama "McMillan & Wife."
-
D.
Mildred
Mildred is a small town located in the state of Texas in the United States.
-
E.
Mildred Evelyn
Mildred Evelyn was the wife of British actor and director Clive Brook, known primarily in relation to his life and career.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aaa56fc81909ba7649302528269 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:06 p.m.