Triple
T6629699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millicent Simmonds |
E149890
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Millicent |
E361596
|
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: Millicent | Statement: [Millicent Simmonds, givenName, Millicent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millicent Context triple: [Millicent Simmonds, givenName, Millicent]
-
A.
Millicent
chosen
Millicent is the given first name of actress Barbara Bain, known for her roles in the television series "Mission: Impossible" and "Space: 1999."
-
B.
Millicent Bloom
Millicent Bloom is the fictional daughter of Leopold and Molly Bloom in James Joyce’s novel "Ulysses."
-
C.
Juliet Mills
Juliet Mills is a British-American actress known for her work in film, television, and theatre, including acclaimed performances in both comedic and dramatic roles.
-
D.
Marjorie
Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
-
E.
Maud Green
Maud Green was an English noblewoman of the early 16th century best known as the mother of Catherine Parr, the sixth wife of King Henry VIII.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa5c9b48190b645be96d446d0ca |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbeb04348190957b8e5f098b72bf |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:59 p.m.