Triple
T19388793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth McCord |
E485005
|
entity |
| Predicate | hasAdvisor |
P25349
|
FINISHED |
| Object | Daisy Grant |
—
|
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: Daisy Grant | Statement: [Elizabeth McCord, hasAdvisor, Daisy Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daisy Grant Context triple: [Elizabeth McCord, hasAdvisor, Daisy Grant]
-
A.
Daisy Grant
chosen
Daisy Grant is a fictional press coordinator and later press secretary in the U.S. State Department on the political drama television series "Madam Secretary."
-
B.
Mary Carter
Mary Carter was the mother of Edwin Lascelles, 1st Baron Harewood, and a member of the family that rose to prominence in 18th-century British aristocratic society.
-
C.
Mary Carter
Mary Carter is an individual known primarily as the sibling of Daisy Carter.
-
D.
Anna Scott
Anna Scott is a famous American movie star who becomes romantically involved with a shy British bookseller in the romantic comedy film "Notting Hill."
-
E.
Selma Bouvier
Selma Bouvier is a chain-smoking, raspy-voiced DMV clerk and Marge Simpson’s cynical sister on the animated television series "The Simpsons."
- 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.