Triple
T16317758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Rhoades |
E396214
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | David Garrison |
E1206973
|
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: David Garrison | Statement: [Steve Rhoades, portrayedBy, David Garrison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Garrison Context triple: [Steve Rhoades, portrayedBy, David Garrison]
-
A.
David Garrison
chosen
David Garrison is an American actor best known for his role as the uptight neighbor Steve Rhoades on the television sitcom "Married... with Children."
-
B.
Eric Gardner
Eric Gardner is a musician best known as a live member of the rap rock group Street Sweeper Social Club.
-
C.
Lou Jacobi
Lou Jacobi was a Canadian-born character actor known for his comedic roles in film, television, and theater, particularly in mid-20th-century Hollywood and Broadway productions.
-
D.
Roger Gale
Roger Gale is a long-serving British Conservative Party politician and Member of Parliament.
-
E.
Roger Gale
Roger Gale is a fictional protagonist whose experiences and relationships drive the central narrative of the story about his family.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b31b988190bb1fde36dae11bbd |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da6e6e08190a20cc51699e12dbc |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.