Triple
T12334903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Suliman |
E294058
|
entity |
| Predicate | notableWork |
P4
|
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: [Ali Suliman, notableWork, Jack Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Ryan Context triple: [Ali Suliman, notableWork, 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.
John Puller
John Puller is a fictional U.S. Army investigator and the protagonist of a popular military crime thriller series by David Baldacci.
-
E.
Jack Bristow
Jack Bristow is a central character from the television series "Alias," known as a highly skilled and morally complex CIA operative and the father of protagonist Sydney Bristow.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa367348190b3991f256586a331 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.