Triple
T10492906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Between Two Worlds |
E247461
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | John Qualen |
E444796
|
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: John Qualen | Statement: [Between Two Worlds, starring, John Qualen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Qualen Context triple: [Between Two Worlds, starring, John Qualen]
-
A.
John Qualen
chosen
John Qualen was a Canadian-American character actor known for his distinctive supporting roles in numerous classic Hollywood films, particularly in the 1930s–1950s.
-
B.
Eric Qualen
Eric Qualen is the ruthless criminal mastermind and primary villain in the action thriller film "Cliffhanger."
-
C.
John Kiffmeyer
John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
-
D.
Warren Skaaren
Warren Skaaren was an American screenwriter and script doctor best known for his work on major 1980s films such as "Beetlejuice" and "Batman."
-
E.
John Christensen
John Christensen is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ecbec8190807c4fcc85662026 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4963545f481909ecc360480b1fc37 |
completed | April 19, 2026, 8:45 a.m. |
Created at: April 6, 2026, 12:24 p.m.