Triple
T11678763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Steel Trap |
E277559
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Arthur Space
Arthur Space was an American character actor known for his numerous supporting roles in mid-20th-century film and television.
|
E940507
|
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 Space | Statement: [The Steel Trap, starring, Arthur Space]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Space Context triple: [The Steel Trap, starring, Arthur Space]
-
A.
George Antrobus
George Antrobus is the everyman patriarch in Thornton Wilder’s allegorical play "The Skin of Our Teeth," embodying humanity’s resilience and folly across apocalyptic crises.
-
B.
Mr. Spacely
Mr. Spacely is the short-tempered, demanding boss of George Jetson and owner of Spacely Space Sprockets in the animated television series "The Jetsons."
-
C.
Charles Gunn
Charles Gunn is a street-smart vampire hunter who becomes a key ally and member of Angel Investigations in the television series "Angel."
-
D.
Charles Gunn
Charles Gunn was an American silent film actor active in the 1910s.
-
E.
John Laurie
John Laurie was a Scottish actor best known for his roles in classic British films and for playing Private Frazer in the television series "Dad's Army."
- 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 Space Triple: [The Steel Trap, starring, Arthur Space]
Generated description
Arthur Space was an American character actor known for his numerous supporting roles in mid-20th-century film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arthur Space Target entity description: Arthur Space was an American character actor known for his numerous supporting roles in mid-20th-century film and television.
-
A.
George Antrobus
George Antrobus is the everyman patriarch in Thornton Wilder’s allegorical play "The Skin of Our Teeth," embodying humanity’s resilience and folly across apocalyptic crises.
-
B.
Mr. Spacely
Mr. Spacely is the short-tempered, demanding boss of George Jetson and owner of Spacely Space Sprockets in the animated television series "The Jetsons."
-
C.
Charles Gunn
Charles Gunn is a street-smart vampire hunter who becomes a key ally and member of Angel Investigations in the television series "Angel."
-
D.
Charles Gunn
Charles Gunn was an American silent film actor active in the 1910s.
-
E.
John Laurie
John Laurie was a Scottish actor best known for his roles in classic British films and for playing Private Frazer in the television series "Dad's Army."
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef14007dd08190b60640be9949ca26 |
completed | April 27, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.