Triple
T15312168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Simple Favor |
E366063
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Laura Fischer
Laura Fischer is a film producer known for her work on the darkly comedic thriller "A Simple Favor."
|
E1154520
|
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: Laura Fischer | Statement: [A Simple Favor, producer, Laura Fischer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Fischer Context triple: [A Simple Favor, producer, Laura Fischer]
-
A.
Ann Fischer
Ann Fischer was the wife of prominent American television newscaster David Brinkley.
-
B.
Johanna Fiedler
Johanna Fiedler was an American arts publicist and author, best known for her work with the Metropolitan Opera and her books on classical music figures and institutions.
-
C.
Kristel Fuchs
Kristel Fuchs is a sibling of Klaus Fuchs, the German-born theoretical physicist who was convicted of spying for the Soviet Union during the Cold War.
-
D.
Eveline Fischer
Eveline Fischer is a video game composer best known for her work on classic Rare titles, including contributions to the Donkey Kong Country series.
-
E.
Emilie Hainisch
Emilie Hainisch was the wife of Austrian politician and first Federal President Michael Hainisch and a member of a prominent Austrian family in the early 20th century.
- 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: Laura Fischer Triple: [A Simple Favor, producer, Laura Fischer]
Generated description
Laura Fischer is a film producer known for her work on the darkly comedic thriller "A Simple Favor."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Fischer Target entity description: Laura Fischer is a film producer known for her work on the darkly comedic thriller "A Simple Favor."
-
A.
Ann Fischer
Ann Fischer was the wife of prominent American television newscaster David Brinkley.
-
B.
Johanna Fiedler
Johanna Fiedler was an American arts publicist and author, best known for her work with the Metropolitan Opera and her books on classical music figures and institutions.
-
C.
Kristel Fuchs
Kristel Fuchs is a sibling of Klaus Fuchs, the German-born theoretical physicist who was convicted of spying for the Soviet Union during the Cold War.
-
D.
Eveline Fischer
Eveline Fischer is a video game composer best known for her work on classic Rare titles, including contributions to the Donkey Kong Country series.
-
E.
Emilie Hainisch
Emilie Hainisch was the wife of Austrian politician and first Federal President Michael Hainisch and a member of a prominent Austrian family in the early 20th century.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133d171c8190918c9624bcdb7451 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff142e99e081909d01cac0416f1bde |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14c61eb08190ba854b541eb1ce14 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.