Triple
T17607673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan A Dale |
E428876
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Joe Armstrong |
—
|
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: Joe Armstrong | Statement: [Allan A Dale, portrayedBy, Joe Armstrong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Armstrong Context triple: [Allan A Dale, portrayedBy, Joe Armstrong]
-
A.
Joe Armstrong
chosen
Joe Armstrong is an English actor best known for his role as Allan A Dale in the BBC television series "Robin Hood" (2006).
-
B.
Joe Armstrong
Joe Armstrong was a Swedish computer scientist and engineer best known as one of the creators of the Erlang programming language for building scalable, fault-tolerant systems.
-
C.
Michael Goguen
Michael Goguen is an American animation producer and director best known for his work on numerous superhero and action-oriented animated television series.
-
D.
Blair Gordon Newell
Blair Gordon Newell was the first husband of American actress Gloria Stuart, known primarily for his connection to her early life and career.
-
E.
Allan Kayser
Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4d8374819097cb112fba405e77 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.