Triple
T3875267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Bacall |
E92485
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
William Perske
William Perske was the father of acclaimed American actress Lauren Bacall, born Betty Joan Perske.
|
E422747
|
NE FINISHED |
How this triple was built (4 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: William Perske | Statement: [Lauren Bacall, father, William Perske]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Perske Context triple: [Lauren Bacall, father, William Perske]
-
A.
William Perlberg
William Perlberg was a prominent American film producer active during Hollywood's studio era, known for overseeing a range of successful comedies and dramas.
-
B.
Michael Peyser
Michael Peyser is an American film and television producer known for his work on a variety of studio and independent projects.
-
C.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
D.
William Wendt
William Wendt was a prominent American landscape painter celebrated as a leading figure of the California Impressionist movement.
-
E.
William Sachse
William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: William Perske Triple: [Lauren Bacall, father, William Perske]
Generated description
William Perske was the father of acclaimed American actress Lauren Bacall, born Betty Joan Perske.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Perske Target entity description: William Perske was the father of acclaimed American actress Lauren Bacall, born Betty Joan Perske.
-
A.
William Perlberg
William Perlberg was a prominent American film producer active during Hollywood's studio era, known for overseeing a range of successful comedies and dramas.
-
B.
Michael Peyser
Michael Peyser is an American film and television producer known for his work on a variety of studio and independent projects.
-
C.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
D.
William Wendt
William Wendt was a prominent American landscape painter celebrated as a leading figure of the California Impressionist movement.
-
E.
William Sachse
William Sachse was a 19th-century Texas pioneer and landowner after whom the city of Sachse, Texas, is named.
- F. None of above. chosen
Provenance (5 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec706434819095e0d2b376adb548 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b595eea03c8190a76a4e09a6d03919 |
completed | March 14, 2026, 5:07 p.m. |
| NEDg | Description generation | batch_69b599c94ce48190a77065377e7c09f3 |
completed | March 14, 2026, 5:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b59a2683488190954d95bc2f2bf456 |
completed | March 14, 2026, 5:25 p.m. |
Created at: March 9, 2026, 3:20 p.m.