Triple
T12768338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weitz |
E305181
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kristin Weitz
Kristin Weitz is an individual notable enough to be specifically recorded as a bearer of the surname Weitz.
|
E1002581
|
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: Kristin Weitz | Statement: [Weitz, hasNotableBearer, Kristin Weitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristin Weitz Context triple: [Weitz, hasNotableBearer, Kristin Weitz]
-
A.
Hildegarde Pabst
Hildegarde Pabst was the wife of American stage and film actor Ian Keith.
-
B.
Susanne Bier
Susanne Bier is an acclaimed Danish film director known for her emotionally intense dramas and the Academy Award-winning film "In a Better World."
-
C.
Lilli Schweiger
Lilli Schweiger is a German actress and model, known for appearing in several films alongside her father, Til Schweiger.
-
D.
Amy Seimetz
Amy Seimetz is an American actress, writer, director, and producer known for her work in independent film and television, including co-creating and directing the series "The Girlfriend Experience."
-
E.
Maria Rainer
Maria Rainer is the spirited, music-loving governess who becomes the central heroine of the musical and film "The Sound of Music," ultimately transforming the von Trapp family’s life.
- 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: Kristin Weitz Triple: [Weitz, hasNotableBearer, Kristin Weitz]
Generated description
Kristin Weitz is an individual notable enough to be specifically recorded as a bearer of the surname Weitz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristin Weitz Target entity description: Kristin Weitz is an individual notable enough to be specifically recorded as a bearer of the surname Weitz.
-
A.
Hildegarde Pabst
Hildegarde Pabst was the wife of American stage and film actor Ian Keith.
-
B.
Susanne Bier
Susanne Bier is an acclaimed Danish film director known for her emotionally intense dramas and the Academy Award-winning film "In a Better World."
-
C.
Lilli Schweiger
Lilli Schweiger is a German actress and model, known for appearing in several films alongside her father, Til Schweiger.
-
D.
Amy Seimetz
Amy Seimetz is an American actress, writer, director, and producer known for her work in independent film and television, including co-creating and directing the series "The Girlfriend Experience."
-
E.
Maria Rainer
Maria Rainer is the spirited, music-loving governess who becomes the central heroine of the musical and film "The Sound of Music," ultimately transforming the von Trapp family’s life.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f750a08190abf6122baa579bc4 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6890782c48190ae93866cf39b1c25 |
completed | May 2, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68976b60881908abf5b69b8c37e6e |
completed | May 2, 2026, 11:32 p.m. |
Created at: April 9, 2026, 5:28 p.m.