Triple
T23220432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Erdman |
E580874
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Richard Erdman |
—
|
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: Richard Erdman | Statement: [Richard Erdman, name, Richard Erdman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Erdman Context triple: [Richard Erdman, name, Richard Erdman]
-
A.
Richard Erdman
chosen
Richard Erdman was an American character actor and director known for his prolific film and television career, including roles in classic movies and later as Leonard on the TV series "Community."
-
B.
Elmer Wachtel
Elmer Wachtel was an American landscape painter associated with early 20th-century California Impressionism.
-
C.
Paul Kohner
Paul Kohner was a prominent Hollywood talent agent and film producer who represented major European and American stars during the mid-20th century.
-
D.
Paul Eckstein
Paul Eckstein is a television writer and producer best known for co-creating the crime drama series "Godfather of Harlem."
-
E.
Philip Liebmann
Philip Liebmann was the husband of American film actress Linda Darnell.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916870148190853874e6cf26bbc7 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.