Triple
T14874186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otherhood |
E349823
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Becki Newton |
E1006457
|
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: Becki Newton | Statement: [Otherhood, starring, Becki Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becki Newton Context triple: [Otherhood, starring, Becki Newton]
-
A.
Becki Newton
chosen
Becki Newton is an American actress best known for her comedic television roles, particularly in popular network sitcoms and dramedies.
-
B.
Becky Clements
Becky Clements is a television producer known for her executive production work on series such as "Good Behavior."
-
C.
Becky McIntyre
Becky McIntyre is a fictional character known as the daughter of Trapper John McIntyre from the M*A*S*H television franchise.
-
D.
Becky Leeman
Becky Leeman is the ambitious, manipulative beauty pageant contestant and primary antagonist in the dark comedy film "Drop Dead Gorgeous."
-
E.
Becky Spratford
Becky Spratford is a readers’ advisory librarian, consultant, and author known for her expertise in serving leisure readers, particularly in the horror genre.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae005644819098937cedb53202c5 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 1:55 a.m.