Triple
T20688464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Loring |
E508484
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Carolyn Jones |
—
|
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: Carolyn Jones | Statement: [Lisa Loring, workedWith, Carolyn Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carolyn Jones Context triple: [Lisa Loring, workedWith, Carolyn Jones]
-
A.
Carolyn Jones
Carolyn Jones is a former American professional women's basketball player best known for her standout career in the ABL and WNBA during the 1990s.
-
B.
Carolyn Jones
chosen
Carolyn Jones was an American actress best known for her iconic portrayal of Morticia Addams in the 1960s television series "The Addams Family."
-
C.
Catherine Hicks
Catherine Hicks is an American actress best known for her role as Annie Camden on the long-running television series "7th Heaven."
-
D.
Linda Gray Sexton
Linda Gray Sexton is an American writer and memoirist known for her novels and for editing and chronicling the life and work of her mother, poet Anne Sexton.
-
E.
Linda Gray
Linda Gray is an American actress best known for her role as Sue Ellen Ewing on the long-running television series "Dallas."
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
Created at: April 16, 2026, 11:49 a.m.