Triple
T22021159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wall |
E543849
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | David Bartis |
—
|
NE NERFINISHED |
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 Bartis | Statement: [The Wall, producer, David Bartis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Bartis Context triple: [The Wall, producer, David Bartis]
-
A.
David Bartis
chosen
David Bartis is an American television and film producer known for his work on series such as Covert Affairs and his long-time collaboration with director Doug Liman.
-
B.
David Butler
David Butler was an American film director and actor best known for his work on classic Hollywood comedies and musicals from the 1930s to the 1950s.
-
C.
David Butler
David Butler was a 19th-century American politician who served as the first governor of the state of Nebraska.
-
D.
David Butler
David Butler is an actor known for his role in the television series "Seventh Heaven."
-
E.
Martin Boddey
Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c7b3308190ac056bef6f82722e |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.