Triple
T11666696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horse Feathers |
E277267
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | David Landau |
E901767
|
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 Landau | Statement: [Horse Feathers, starring, David Landau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Landau Context triple: [Horse Feathers, starring, David Landau]
-
A.
David Landau
chosen
David Landau was an American character actor of the early 20th century, known for his tough, authoritative roles in stage and film productions.
-
B.
Jason Landau
Jason Landau is an American actor and entrepreneur best known to the public as the husband of Broadway and television star Cheyenne Jackson.
-
C.
Jesse Landau
Jesse Landau is known primarily as the child of acclaimed American film producer Jon Landau, associated with blockbuster films like Titanic and Avatar.
-
D.
Richard Landau
Richard Landau was an American screenwriter known for his work on mid-20th-century genre films and television, particularly in science fiction and crime.
-
E.
Jody Landau
Jody Landau is known primarily as the child of acclaimed American film producer Jon Landau, who worked closely with director James Cameron on major blockbuster films.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ed82a548190ab9326daef78e30b |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:39 p.m.