Triple
T22145880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Buchwald |
E547285
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Jennifer Buchwald
Jennifer Buchwald is the daughter of Pulitzer Prize–winning American humorist and columnist Art Buchwald.
|
E1558349
|
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: Jennifer Buchwald | Statement: [Art Buchwald, hasChild, Jennifer Buchwald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Buchwald Context triple: [Art Buchwald, hasChild, Jennifer Buchwald]
-
A.
Erika Peters
Erika Peters is a German-born actress known for her film and television work in the 1950s and 1960s.
-
B.
Emma R. Schachner
Emma R. Schachner is a paleontologist and anatomist known for her research on dinosaur respiratory systems and contributions to the description of feathered theropods.
-
C.
Rachel Buchman
Rachel Buchman is the titular bride and central figure in the 2008 drama film "Rachel Getting Married," around whose wedding and family tensions the story revolves.
-
D.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
E.
Jane Waldhorn
Jane Waldhorn is the wife of horror novelist R. L. Stine and a longtime editor and publishing professional who has played a key role in his career.
- 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: Jennifer Buchwald Triple: [Art Buchwald, hasChild, Jennifer Buchwald]
Generated description
Jennifer Buchwald is the daughter of Pulitzer Prize–winning American humorist and columnist Art Buchwald.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Buchwald Target entity description: Jennifer Buchwald is the daughter of Pulitzer Prize–winning American humorist and columnist Art Buchwald.
-
A.
Erika Peters
Erika Peters is a German-born actress known for her film and television work in the 1950s and 1960s.
-
B.
Emma R. Schachner
Emma R. Schachner is a paleontologist and anatomist known for her research on dinosaur respiratory systems and contributions to the description of feathered theropods.
-
C.
Rachel Buchman
Rachel Buchman is the titular bride and central figure in the 2008 drama film "Rachel Getting Married," around whose wedding and family tensions the story revolves.
-
D.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
E.
Jane Waldhorn
Jane Waldhorn is the wife of horror novelist R. L. Stine and a longtime editor and publishing professional who has played a key role in his career.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f097248190a8a3cdff1593b5b5 |
completed | April 28, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae70e3288190b569b4221214e6db |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0baf48d4c481909268ad4c6b4ff67a |
completed | May 19, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bafae553c8190a7426ba56b60f147 |
completed | May 19, 2026, 12:32 a.m. |
Created at: April 16, 2026, 8:33 p.m.