Triple
T746353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madam Secretary |
E15349
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Madam |
E20184
|
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: Madam | Statement: [Madam Secretary, hasComponent, Madam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madam Context triple: [Madam Secretary, hasComponent, Madam]
-
A.
Madam
chosen
"Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
-
B.
Madame Mère
Madame Mère was the honorific title of Letizia Ramolino, the mother of Napoleon Bonaparte and matriarch of the Bonaparte family.
-
C.
Miss Quentin
Miss Quentin is a rebellious and troubled young woman in William Faulkner’s novel "The Sound and the Fury," whose defiance highlights the decay and dysfunction of the Compson family.
-
D.
Blansky's Beauties
Blansky's Beauties is a short-lived 1970s American sitcom set in Las Vegas that followed a showbiz talent agent and her troupe of showgirls, created as a spin-off from Happy Days.
-
E.
Clemmie
Clemmie is a diminutive given name commonly used as a nickname for Clementine.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62ca1d081908e3191411f86498d |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a65e4086e481908d0ea29729d92d67 |
completed | March 3, 2026, 4:06 a.m. |
Created at: March 1, 2026, 7:37 p.m.