Triple
T21327273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathryn Crosby |
E525790
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Mary Crosby |
—
|
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: Mary Crosby | Statement: [Kathryn Crosby, hasChild, Mary Crosby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Crosby Context triple: [Kathryn Crosby, hasChild, Mary Crosby]
-
A.
Mary Crosby
chosen
Mary Crosby is an American actress best known for her role as Kristin Shepard on the television series "Dallas."
-
B.
Betsy Carlisle
Betsy Carlisle is a character from the Disney comedy film "Son of Flubber," known as the romantic interest of the protagonist's son in the sequel to "The Absent-Minded Professor."
-
C.
Mary Elfrieda Scruggs
Mary Elfrieda Scruggs, better known as Mary Lou Williams, was an influential American jazz pianist, composer, and arranger whose career spanned swing, bebop, and beyond.
-
D.
Melba Snyder
Melba Snyder is a character associated with the animated television series "Zip."
-
E.
Ann O’Dell
Ann O’Dell is a musician and keyboardist known for her session and arrangement work on various rock and pop recordings.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4a796081908148ec9106362d3d |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.