Triple
T1368567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Weisz |
E30057
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Edith Ruth Teich
Edith Ruth Teich is the mother of British actress Rachel Weisz.
|
E162511
|
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: Edith Ruth Teich | Statement: [Rachel Weisz, mother, Edith Ruth Teich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edith Ruth Teich Context triple: [Rachel Weisz, mother, Edith Ruth Teich]
-
A.
Doris Neustadt
Doris Neustadt was a benefactor and namesake of the prestigious Neustadt International Prize for Literature, recognized for her support of literary arts.
-
B.
Ann Fleischer
Ann Fleischer is best known as the first wife of former U.S. Secretary of State and Nobel Peace Prize laureate Henry Kissinger.
-
C.
Lucille Kuyper
Lucille Kuyper was an American entrepreneur best known for establishing Pella Corporation, a major manufacturer of windows and doors.
-
D.
Frances Witz Hull
Frances Witz Hull was the wife of longtime U.S. Secretary of State and Nobel Peace Prize laureate Cordell Hull.
-
E.
Erna Schneider Hoover
Erna Schneider Hoover is an American mathematician and computer scientist renowned for pioneering a computerized telephone switching system that greatly improved call efficiency and reliability.
- 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: Edith Ruth Teich Triple: [Rachel Weisz, mother, Edith Ruth Teich]
Generated description
Edith Ruth Teich is the mother of British actress Rachel Weisz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edith Ruth Teich Target entity description: Edith Ruth Teich is the mother of British actress Rachel Weisz.
-
A.
Doris Neustadt
Doris Neustadt was a benefactor and namesake of the prestigious Neustadt International Prize for Literature, recognized for her support of literary arts.
-
B.
Ann Fleischer
Ann Fleischer is best known as the first wife of former U.S. Secretary of State and Nobel Peace Prize laureate Henry Kissinger.
-
C.
Lucille Kuyper
Lucille Kuyper was an American entrepreneur best known for establishing Pella Corporation, a major manufacturer of windows and doors.
-
D.
Frances Witz Hull
Frances Witz Hull was the wife of longtime U.S. Secretary of State and Nobel Peace Prize laureate Cordell Hull.
-
E.
Erna Schneider Hoover
Erna Schneider Hoover is an American mathematician and computer scientist renowned for pioneering a computerized telephone switching system that greatly improved call efficiency and reliability.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d497f88190993d16a208ced43d |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace56940408190aeba5a342ae3ab17 |
completed | March 8, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69ace5fb515081908acadef0303b8f6e |
completed | March 8, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace9ba4b3481908d03636d8f72d04c |
completed | March 8, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:57 p.m.