Triple
T7072784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archie Bunker's Place |
E164739
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Bill Quinn |
E356219
|
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: Bill Quinn | Statement: [Archie Bunker's Place, starring, Bill Quinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Quinn Context triple: [Archie Bunker's Place, starring, Bill Quinn]
-
A.
Bill Quinn
chosen
Bill Quinn was an American character actor known for his numerous supporting roles in film and television from the 1930s through the 1980s.
-
B.
Kevin Quinn
Kevin Quinn is a professional wrestling trainer and former wrestler best known for helping develop future stars such as CM Punk.
-
C.
Kevin M. Quinn
Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
-
D.
Max Cullen
Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
-
E.
Kevin Corcoran
Kevin Corcoran was an American child actor best known for his roles in numerous Walt Disney films during the 1950s and 1960s.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4cb76548190bd98876f8ba925b7 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbc74dac8190993f613d8219fa8d |
completed | March 28, 2026, 12:38 p.m. |
Created at: March 27, 2026, 2:39 p.m.