Triple
T5148712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dog |
E116137
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Arthur Angel
Arthur Angel is an Australian actor best known for his role in the film "Red Dog."
|
E498679
|
NE FINISHED |
How this triple was built (4 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: Arthur Angel | Statement: [Red Dog, starredActor, Arthur Angel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Angel Context triple: [Red Dog, starredActor, Arthur Angel]
-
A.
Peter Chirico
Peter Chirico is a Canadian municipal politician who has served as the mayor of North Bay, Ontario.
-
B.
Gerard Damiano
Gerard Damiano was an American adult film director best known for pioneering the mainstream crossover of pornography with his 1972 film "Deep Throat."
-
C.
Philip Lamantia
Philip Lamantia was an American surrealist poet associated with the Beat Generation and the San Francisco Renaissance, known for his visionary, dreamlike verse.
-
D.
Alexander Grosset
Alexander Grosset was a publisher best known as the co-founder of the American publishing house Grosset & Dunlap.
-
E.
Hector Waller
Hector Waller was a distinguished Australian naval officer and World War II captain renowned for his leadership and bravery, particularly in early Pacific naval engagements.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arthur Angel Triple: [Red Dog, starredActor, Arthur Angel]
Generated description
Arthur Angel is an Australian actor best known for his role in the film "Red Dog."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arthur Angel Target entity description: Arthur Angel is an Australian actor best known for his role in the film "Red Dog."
-
A.
Peter Chirico
Peter Chirico is a Canadian municipal politician who has served as the mayor of North Bay, Ontario.
-
B.
Gerard Damiano
Gerard Damiano was an American adult film director best known for pioneering the mainstream crossover of pornography with his 1972 film "Deep Throat."
-
C.
Philip Lamantia
Philip Lamantia was an American surrealist poet associated with the Beat Generation and the San Francisco Renaissance, known for his visionary, dreamlike verse.
-
D.
Alexander Grosset
Alexander Grosset was a publisher best known as the co-founder of the American publishing house Grosset & Dunlap.
-
E.
Hector Waller
Hector Waller was a distinguished Australian naval officer and World War II captain renowned for his leadership and bravery, particularly in early Pacific naval engagements.
- F. None of above. chosen
Provenance (5 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfff6e8c8190883fc981fca95f48 |
completed | March 21, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69bed3fd1d0081908d7fcaccd6e337ee |
completed | March 21, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed4817390819090d48b0784c78ca3 |
completed | March 21, 2026, 5:25 p.m. |
Created at: March 20, 2026, 1:43 p.m.