Triple
T13595214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassie Lang |
E324799
|
entity |
| Predicate | family |
P566
|
FINISHED |
| Object |
Peggy Rae Burdick
Peggy Rae Burdick is a relative of Marvel Comics character Cassie Lang, connecting to the extended family of Ant-Man (Scott Lang).
|
E1048401
|
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: Peggy Rae Burdick | Statement: [Cassie Lang, family, Peggy Rae Burdick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy Rae Burdick Context triple: [Cassie Lang, family, Peggy Rae Burdick]
-
A.
Patsy Ruth Miller
Patsy Ruth Miller was an American silent film actress best known for her role as Esmeralda in the 1923 film adaptation of The Hunchback of Notre Dame.
-
B.
Peggy Crosby
Peggy Crosby is best known as the wife of influential quality management expert and author Philip B. Crosby.
-
C.
Bette Farmer
Bette Farmer was the wife of science fiction and fantasy author Philip José Farmer.
-
D.
Betty Parker
Betty Parker is the daughter of Trey Parker, the American animator, writer, and co-creator of the television series "South Park."
-
E.
Patty Dann
Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
- 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: Peggy Rae Burdick Triple: [Cassie Lang, family, Peggy Rae Burdick]
Generated description
Peggy Rae Burdick is a relative of Marvel Comics character Cassie Lang, connecting to the extended family of Ant-Man (Scott Lang).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peggy Rae Burdick Target entity description: Peggy Rae Burdick is a relative of Marvel Comics character Cassie Lang, connecting to the extended family of Ant-Man (Scott Lang).
-
A.
Patsy Ruth Miller
Patsy Ruth Miller was an American silent film actress best known for her role as Esmeralda in the 1923 film adaptation of The Hunchback of Notre Dame.
-
B.
Peggy Crosby
Peggy Crosby is best known as the wife of influential quality management expert and author Philip B. Crosby.
-
C.
Bette Farmer
Bette Farmer was the wife of science fiction and fantasy author Philip José Farmer.
-
D.
Betty Parker
Betty Parker is the daughter of Trey Parker, the American animator, writer, and co-creator of the television series "South Park."
-
E.
Patty Dann
Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc762a08190b5d29cef9923da84 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77643b0348190962bf23a9857edbe |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7791add908190af69b23a54eb7560 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:49 p.m.