Triple
T5948715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Brody |
E132342
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Thea Brody
Thea Brody is a member of the Brody family, known primarily in relation to Michael Brody.
|
E566950
|
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: Thea Brody | Statement: [Michael Brody, relative, Thea Brody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thea Brody Context triple: [Michael Brody, relative, Thea Brody]
-
A.
Teresa Ganzel
Teresa Ganzel is an American actress and comedian best known for her frequent appearances on The Tonight Show Starring Johnny Carson and her roles in 1980s comedies and voice acting.
-
B.
Barbara Bach
Barbara Bach is an American actress and former model best known for playing Bond girl Anya Amasova in the James Bond film "The Spy Who Loved Me."
-
C.
Helen Hirsch
Helen Hirsch is a Jewish maid in the film "Schindler's List" who endures brutal abuse under Nazi commandant Amon Göth, symbolizing the terror and dehumanization of the Holocaust.
-
D.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
-
E.
Elaine Baylor
Elaine Baylor is known as the wife of legendary Basketball Hall of Famer Elgin Baylor.
- 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: Thea Brody Triple: [Michael Brody, relative, Thea Brody]
Generated description
Thea Brody is a member of the Brody family, known primarily in relation to Michael Brody.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thea Brody Target entity description: Thea Brody is a member of the Brody family, known primarily in relation to Michael Brody.
-
A.
Teresa Ganzel
Teresa Ganzel is an American actress and comedian best known for her frequent appearances on The Tonight Show Starring Johnny Carson and her roles in 1980s comedies and voice acting.
-
B.
Barbara Bach
Barbara Bach is an American actress and former model best known for playing Bond girl Anya Amasova in the James Bond film "The Spy Who Loved Me."
-
C.
Helen Hirsch
Helen Hirsch is a Jewish maid in the film "Schindler's List" who endures brutal abuse under Nazi commandant Amon Göth, symbolizing the terror and dehumanization of the Holocaust.
-
D.
Myrna Fahey
Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
-
E.
Elaine Baylor
Elaine Baylor is known as the wife of legendary Basketball Hall of Famer Elgin Baylor.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0397deea08190b9397d0413740300 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cc81b3081908a35c4230eba3f06 |
completed | March 23, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69c11d9102648190a61e9a85ead0fff4 |
completed | March 23, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11e76f5c48190adabb10472729cb2 |
completed | March 23, 2026, 11:05 a.m. |
Created at: March 22, 2026, 4:01 p.m.