Triple
T20367542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Baldwin |
E496952
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Karen Baldwin |
—
|
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: Karen Baldwin | Statement: [Edward Baldwin, hasRelative, Karen Baldwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Baldwin Context triple: [Edward Baldwin, hasRelative, Karen Baldwin]
-
A.
Karen Baldwin
chosen
Karen Baldwin is a film producer best known for her work on the Oscar-winning biographical drama "Ray."
-
B.
Karen Baldwin
Karen Baldwin is a central character in the 1962 post-apocalyptic film "Panic in Year Zero!", which follows a family struggling to survive after a nuclear attack.
-
C.
Karen Baldwin
Karen Baldwin is a central character in the alternate-history space drama series "For All Mankind," known for her complex personal journey amid the political and emotional fallout of the space race.
-
D.
Karen West
Karen West is known as the wife of legendary NBA player and executive Jerry West.
-
E.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787291d88190a526fe2461d2a7c6 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.