Triple
T19388790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth McCord |
E485005
|
entity |
| Predicate | hasAdvisor |
P25349
|
FINISHED |
| Object | Nadine Tolliver |
—
|
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: Nadine Tolliver | Statement: [Elizabeth McCord, hasAdvisor, Nadine Tolliver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadine Tolliver Context triple: [Elizabeth McCord, hasAdvisor, Nadine Tolliver]
-
A.
Nadine Tolliver
chosen
Nadine Tolliver is a key fictional character in the political drama series "Madam Secretary," serving as the capable and loyal chief of staff to Secretary of State Elizabeth McCord.
-
B.
Nedra Talley
Nedra Talley is an American singer best known as a founding member of the 1960s girl group The Ronettes, famed for hits like "Be My Baby."
-
C.
Naturi Naughton
Naturi Naughton is an American singer and actress best known as a former member of the R&B group 3LW and for her roles in projects like the TV series "Power" and the film "Notorious."
-
D.
Teisha Brown
Teisha Brown is a singer best known as a member of the American R&B group Brownstone.
-
E.
Saundra McClain
Saundra McClain is an American actress known for her work in film, television, and theater.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b425e848190ab5ae8ae0a034fe2 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.