Triple
T3748134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millicent Siegel |
E81258
|
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 Siegel, givenName, Millicent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millicent Context triple: [Millicent Siegel, 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.
Marjorie
Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
-
C.
Leatrice Joy
Leatrice Joy was a prominent American silent film actress of the 1920s known for her expressive performances and distinctive bobbed hairstyle.
-
D.
Mollie Malloy
Mollie Malloy is a supporting character in the classic newsroom comedy "The Front Page," often portrayed as a vulnerable woman entangled in the central murder case and exploited by the press.
-
E.
Mildred
Mildred is a feminine given name of English origin that became especially popular in the late 19th and early 20th centuries.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6ac5ac8190934ec1a6c887a8f5 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db2f5e9881908c10feafbb569f48 |
completed | March 14, 2026, 3:51 a.m. |
Created at: March 8, 2026, 3:35 p.m.