Triple
T11161911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Hopkins |
E264056
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Ann Branigar Hopkins |
E264056
|
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: Ann Branigar Hopkins | Statement: [Ann Hopkins, fullName, Ann Branigar Hopkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Branigar Hopkins Context triple: [Ann Hopkins, fullName, Ann Branigar Hopkins]
-
A.
Ann Hopkins
chosen
Ann Hopkins was a management consultant whose landmark U.S. Supreme Court case, Price Waterhouse v. Hopkins, became a pivotal precedent in employment discrimination law, particularly regarding gender stereotyping.
-
B.
Anne Hopkins
Anne Hopkins is a film and television producer best known for her work on the fantasy miniseries adaptation of "The Mists of Avalon."
-
C.
Elizabeth Fisher Hopkins
Elizabeth Fisher Hopkins was the stepmother of Mayflower passenger Giles Hopkins, connected to early colonial American history.
-
D.
Barbara Hopkinson
Barbara Hopkinson is an author and grief recovery advocate known for helping individuals and families cope with the loss of loved ones.
-
E.
Ann Holbrook
Ann Holbrook is a Canadian actress known for her work in film, television, and theatre.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8832fe88190a74d81f9ed547baa |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f28053fe08819099e848cd74b989a0 |
completed | April 29, 2026, 10:04 p.m. |
Created at: April 8, 2026, 9:29 p.m.