Triple
T4290374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Hood (2006 TV series) |
E97373
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Jonas Armstrong |
E145493
|
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: Jonas Armstrong | Statement: [Robin Hood (2006 TV series), portrayedBy, Jonas Armstrong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonas Armstrong Context triple: [Robin Hood (2006 TV series), portrayedBy, Jonas Armstrong]
-
A.
Jonas Armstrong
chosen
Jonas Armstrong is a British actor best known for playing the title role in the BBC series "Robin Hood" and appearing in various film and television dramas.
-
B.
Lyle Campbell
Lyle Campbell is an American linguist renowned for his work in historical linguistics and the documentation and classification of indigenous languages of the Americas.
-
C.
Aaron Lohr
Aaron Lohr is an American actor and singer known for his roles in films like "The Mighty Ducks" series and "Newsies," as well as for his work in musical theatre.
-
D.
Jonas Wendell
Jonas Wendell was a 19th-century American Adventist preacher whose prophetic teachings on Christ’s return significantly shaped early Bible Student thought.
-
E.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35061f5448190b3356b29a9129160 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c73501f4819088bf87f3c4d0f23b |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:08 p.m.