Triple
T13258848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SD-6 |
E315734
|
entity |
| Predicate | employs |
P7
|
FINISHED |
| Object | Michael Vaughn |
E315737
|
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: Michael Vaughn | Statement: [SD-6, employs, Michael Vaughn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Vaughn Context triple: [SD-6, employs, Michael Vaughn]
-
A.
Michael Vaughn
chosen
Michael Vaughn is a fictional CIA handler and love interest of Sydney Bristow in the television series "Alias."
-
B.
John Dahl
John Dahl is an American film and television director best known for his stylish neo-noir thrillers such as "Red Rock West" and "The Last Seduction."
-
C.
Michael Caton-Jones
Michael Caton-Jones is a Scottish film director known for works such as "Scandal," "Rob Roy," and "The Jackal."
-
D.
Alex Gifford
Alex Gifford is a British musician and record producer best known as a member of the electronic music group Propellerheads.
-
E.
Scott Frank
Scott Frank is an American screenwriter and director known for his work on acclaimed films such as "Out of Sight," "Minority Report," and the series "The Queen's Gambit."
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a444b4c8190a5dd95460ac96cc7 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:25 p.m.