Triple
T10131817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Weisman |
E226355
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Deborah Weisman
Deborah Weisman is a member of the Weisman family, known primarily in relation to Daniel Weisman.
|
E852762
|
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: Deborah Weisman | Statement: [Daniel Weisman, hasRelative, Deborah Weisman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deborah Weisman Context triple: [Daniel Weisman, hasRelative, Deborah Weisman]
-
A.
Deborah Pines
Deborah Pines is an American physician and writer best known as the wife of journalist and author Tony Schwartz.
-
B.
Deborah Liebling
Deborah Liebling is an American television and film producer and executive known for her work on comedy projects.
-
C.
Deborah Waxman
Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
-
D.
Lisa Deutsch
Lisa Deutsch is known primarily for having been married to the American actor Tony Curtis.
-
E.
Laura Shusterman
Laura Shusterman is the wife of former Donald Trump attorney Michael Cohen and a Ukrainian-born businesswoman who has been linked to some of his real estate and taxi-medallion ventures.
- 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: Deborah Weisman Triple: [Daniel Weisman, hasRelative, Deborah Weisman]
Generated description
Deborah Weisman is a member of the Weisman family, known primarily in relation to Daniel Weisman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deborah Weisman Target entity description: Deborah Weisman is a member of the Weisman family, known primarily in relation to Daniel Weisman.
-
A.
Deborah Pines
Deborah Pines is an American physician and writer best known as the wife of journalist and author Tony Schwartz.
-
B.
Deborah Liebling
Deborah Liebling is an American television and film producer and executive known for her work on comedy projects.
-
C.
Deborah Waxman
Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
-
D.
Lisa Deutsch
Lisa Deutsch is known primarily for having been married to the American actor Tony Curtis.
-
E.
Laura Shusterman
Laura Shusterman is the wife of former Donald Trump attorney Michael Cohen and a Ukrainian-born businesswoman who has been linked to some of his real estate and taxi-medallion ventures.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33557a88190b5fb1938646d8532 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6ca9ac88190ac5f0a25954a2606 |
completed | April 9, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: March 30, 2026, 9:06 p.m.