Triple
T13778026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Goldner |
E331060
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Barbara Goldner
Barbara Goldner is known as the wife of the late Brian Goldner, the former CEO of Hasbro.
|
E1087488
|
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: Barbara Goldner | Statement: [Brian Goldner, spouse, Barbara Goldner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Goldner Context triple: [Brian Goldner, spouse, Barbara Goldner]
-
A.
Lisa Fruchtman
Lisa Fruchtman is an American film editor known for her work on major films such as "Apocalypse Now" and for winning an Academy Award for Best Film Editing.
-
B.
Margot Löwenthal
Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
-
C.
Marion Goldin
Marion Goldin is an American television news producer best known for her long tenure on the CBS newsmagazine "60 Minutes."
-
D.
Lilian Blumberg
Lilian Blumberg was the mother of British actor and filmmaker Leslie Howard.
-
E.
Lillian Roth
Lillian Roth was an American singer and stage and screen actress known for her early success in Hollywood musicals and her later public struggle with alcoholism and recovery.
- 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: Barbara Goldner Triple: [Brian Goldner, spouse, Barbara Goldner]
Generated description
Barbara Goldner is known as the wife of the late Brian Goldner, the former CEO of Hasbro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbara Goldner Target entity description: Barbara Goldner is known as the wife of the late Brian Goldner, the former CEO of Hasbro.
-
A.
Lisa Fruchtman
Lisa Fruchtman is an American film editor known for her work on major films such as "Apocalypse Now" and for winning an Academy Award for Best Film Editing.
-
B.
Margot Löwenthal
Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
-
C.
Marion Goldin
Marion Goldin is an American television news producer best known for her long tenure on the CBS newsmagazine "60 Minutes."
-
D.
Lilian Blumberg
Lilian Blumberg was the mother of British actor and filmmaker Leslie Howard.
-
E.
Lillian Roth
Lillian Roth was an American singer and stage and screen actress known for her early success in Hollywood musicals and her later public struggle with alcoholism and recovery.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f6afb4819081cce9ad37b1a0f8 |
completed | May 8, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69fd2a0ca218819088dda60bca4bc06e |
completed | May 8, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2ab70c7c8190956575ceffb0e179 |
completed | May 8, 2026, 12:13 a.m. |
Created at: April 9, 2026, 10:10 p.m.