Triple
T4016262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Southwick |
E90767
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Shawn Southwick |
E90767
|
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: Shawn Southwick | Statement: [Shawn Southwick, name, Shawn Southwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shawn Southwick Context triple: [Shawn Southwick, name, Shawn Southwick]
-
A.
Shawn Southwick
chosen
Shawn Southwick is an American singer, actress, and television host best known for her long-term marriage to broadcaster Larry King.
-
B.
Matthew F. Leonetti
Matthew F. Leonetti is an American cinematographer known for his work on numerous Hollywood films across action, comedy, and science fiction genres.
-
C.
Paul Merolla
Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
-
D.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
E.
Matthew J. Driscoll
Matthew J. Driscoll is an American politician and public official from New York who has served as mayor of Syracuse and later held statewide leadership roles in transportation and infrastructure.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa7352481908232534c89a698e7 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5768fae4881908c9dea4e39e3788c |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:35 p.m.