Triple
T18164354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Clancy |
E434850
|
entity |
| Predicate | createdCharacter |
P2004
|
FINISHED |
| Object | Jack Ryan |
E333031
|
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: Jack Ryan | Statement: [Tom Clancy, createdCharacter, Jack Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Ryan Context triple: [Tom Clancy, createdCharacter, Jack Ryan]
-
A.
Jack Ryan
chosen
Jack Ryan is a fictional CIA analyst and action hero created by author Tom Clancy, featured in a popular series of techno-thriller novels and numerous film and television adaptations.
-
B.
Jack Ryan
Jack Ryan was an American businessman and inventor best known for designing the original Barbie doll for Mattel.
-
C.
Jack Bauer
Jack Bauer is the relentless and resourceful counterterrorism agent who serves as the central protagonist of the television series "24."
-
D.
Rick Bauer
Rick Bauer is a fictional character from the long-running American soap opera "Guiding Light," known as a member of the central Bauer family and a dedicated physician.
-
E.
John Puller
John Puller is a fictional U.S. Army investigator and the protagonist of a popular military crime thriller series by David Baldacci.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec55a088190868ee0b0a310fefb |
completed | April 19, 2026, 1:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fc25f248190a9ac02acf968069f |
completed | May 12, 2026, 8:38 p.m. |
Created at: April 10, 2026, 10:30 a.m.