Triple
T23232657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Blackman |
E581201
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Joby Baker |
—
|
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: Joby Baker | Statement: [Joan Blackman, spouse, Joby Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joby Baker Context triple: [Joan Blackman, spouse, Joby Baker]
-
A.
Joby Baker
chosen
Joby Baker is a Canadian-born actor and painter best known for his supporting roles in 1960s American film and television comedies.
-
B.
Larry Baker
Larry Baker is the heroic protagonist of the 1932 film serial "The Hurricane Express," known for battling saboteurs to protect a railroad line and avenge his father's death.
-
C.
Eddy Baker
Eddy Baker is an American underground rapper known for his dark, lo-fi style and association with the influential hip-hop collective Raider Klan.
-
D.
Theo Baker
Theo Baker is an author known for collaborating with Lin Oliver on children’s and young adult literature.
-
E.
Leon Barmore
Leon Barmore is a legendary women's college basketball coach best known for leading the Louisiana Tech Lady Techsters to national prominence and multiple NCAA championships.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e70b2c8190abede6e3cd9344f7 |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:09 p.m.