Triple
T12483552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Friedlander |
E298373
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Anna Friedlander
Anna Friedlander is known as the daughter of influential American photographer Lee Friedlander.
|
E1008988
|
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: Anna Friedlander | Statement: [Lee Friedlander, hasChild, Anna Friedlander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Friedlander Context triple: [Lee Friedlander, hasChild, Anna Friedlander]
-
A.
Maria Friedlander
Maria Friedlander is known as the wife of influential American photographer Lee Friedlander.
-
B.
Susan Friedlander
Susan Friedlander is an American mathematician known for her contributions to fluid dynamics and partial differential equations, as well as for her leadership roles in the mathematical community.
-
C.
Anna Eberstein
Anna Eberstein is a Swedish television producer and retail executive best known as the wife of British actor Hugh Grant.
-
D.
Elisabeth Kretzmer
Elisabeth Kretzmer is best known as the wife of lyricist and journalist Herbert Kretzmer, noted for his work on the musical "Les Misérables."
-
E.
Daphne Kluger
Daphne Kluger is a glamorous, high-profile actress and the unsuspecting target of the jewel heist in the film "Ocean's 8."
- 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: Anna Friedlander Triple: [Lee Friedlander, hasChild, Anna Friedlander]
Generated description
Anna Friedlander is known as the daughter of influential American photographer Lee Friedlander.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Friedlander Target entity description: Anna Friedlander is known as the daughter of influential American photographer Lee Friedlander.
-
A.
Maria Friedlander
Maria Friedlander is known as the wife of influential American photographer Lee Friedlander.
-
B.
Susan Friedlander
Susan Friedlander is an American mathematician known for her contributions to fluid dynamics and partial differential equations, as well as for her leadership roles in the mathematical community.
-
C.
Anna Eberstein
Anna Eberstein is a Swedish television producer and retail executive best known as the wife of British actor Hugh Grant.
-
D.
Elisabeth Kretzmer
Elisabeth Kretzmer is best known as the wife of lyricist and journalist Herbert Kretzmer, noted for his work on the musical "Les Misérables."
-
E.
Daphne Kluger
Daphne Kluger is a glamorous, high-profile actress and the unsuspecting target of the jewel heist in the film "Ocean's 8."
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcef6548190a6d29375bdabd17d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a535943081909f893b2be006cc28 |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a724e414819081c95b0d4ac0da25 |
completed | May 3, 2026, 1:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a7def4bc8190836ad781a4a28456 |
completed | May 3, 2026, 1:41 a.m. |
Created at: April 8, 2026, 9:56 p.m.