Triple
T9969892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life in Pieces |
E196176
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Betsy Brandt
Betsy Brandt is an American actress best known for her role as Marie Schrader on the television series "Breaking Bad."
|
E831777
|
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: Betsy Brandt | Statement: [Life in Pieces, stars, Betsy Brandt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betsy Brandt Context triple: [Life in Pieces, stars, Betsy Brandt]
-
A.
Sue Faldo
Sue Faldo is best known as the former wife of English professional golfer and six-time major champion Nick Faldo.
-
B.
Jackie Burke
Jackie Burke is the resourceful middle-aged flight attendant and central protagonist of Elmore Leonard’s crime novel "Rum Punch," later adapted into the film "Jackie Brown."
-
C.
Renee Richards
Renee Richards is a pioneering transgender ophthalmologist and former professional tennis player who became known for her legal battle to compete as a woman and later for coaching top players on the women’s tour.
-
D.
Annika
Annika is a television crime drama series featuring Kate Dickie in a prominent role.
-
E.
Martine Bancroft
Martine Bancroft is a Marvel Comics character closely associated with the antihero Morbius, often depicted as his fiancée and a key emotional anchor in his storyline.
- 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: Betsy Brandt Triple: [Life in Pieces, stars, Betsy Brandt]
Generated description
Betsy Brandt is an American actress best known for her role as Marie Schrader on the television series "Breaking Bad."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betsy Brandt Target entity description: Betsy Brandt is an American actress best known for her role as Marie Schrader on the television series "Breaking Bad."
-
A.
Sue Faldo
Sue Faldo is best known as the former wife of English professional golfer and six-time major champion Nick Faldo.
-
B.
Jackie Burke
Jackie Burke is the resourceful middle-aged flight attendant and central protagonist of Elmore Leonard’s crime novel "Rum Punch," later adapted into the film "Jackie Brown."
-
C.
Renee Richards
Renee Richards is a pioneering transgender ophthalmologist and former professional tennis player who became known for her legal battle to compete as a woman and later for coaching top players on the women’s tour.
-
D.
Annika
Annika is a television crime drama series featuring Kate Dickie in a prominent role.
-
E.
Martine Bancroft
Martine Bancroft is a Marvel Comics character closely associated with the antihero Morbius, often depicted as his fiancée and a key emotional anchor in his storyline.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b7ea9881908a56f11e2e446dd0 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dca14d081909573e91a576921c9 |
completed | April 5, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69d23f63a0d08190a3ace2e4bb58a9ac |
completed | April 5, 2026, 10:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d23ff6fdc4819082d8d575a3901ea8 |
completed | April 5, 2026, 10:56 a.m. |
Created at: March 30, 2026, 8:48 p.m.