Triple
T19628684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Unit 2 |
E471206
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jonathan Togo |
—
|
NE NERFINISHED |
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: Jonathan Togo | Statement: [Special Unit 2, starring, Jonathan Togo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Togo Context triple: [Special Unit 2, starring, Jonathan Togo]
-
A.
Jonathan Togo
chosen
Jonathan Togo is an American actor best known for his role as Ryan Wolfe on the television series CSI: Miami.
-
B.
Joseph M'Benga
Joseph M'Benga is a Starfleet medical officer and skilled physician in the Star Trek universe, prominently depicted as the USS Enterprise’s chief medical officer in Star Trek: Strange New Worlds.
-
C.
Blaise Koissy
Blaise Koissy is a notable individual recognized for achievements significant enough to distinguish him among people sharing the given name Blaise.
-
D.
Léon Mébiame
Léon Mébiame was a Gabonese politician who served for many years as a key government leader during the long rule of President Omar Bongo.
-
E.
Maurice Odumbe
Maurice Odumbe is a former Kenyan cricketer and all-rounder who was one of the country's leading players during its rise on the international stage in the 1990s and early 2000s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641007e5881908da78e50aa36f340 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.