Triple
T12533934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieber |
E299637
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Rochelle Lieber
Rochelle Lieber is an American linguist renowned for her influential work in morphology and lexical semantics.
|
E1015176
|
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: Rochelle Lieber | Statement: [Lieber, hasNotableBearer, Rochelle Lieber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rochelle Lieber Context triple: [Lieber, hasNotableBearer, Rochelle Lieber]
-
A.
Deborah Liebling
Deborah Liebling is an American television and film producer and executive known for her work on comedy projects.
-
B.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
C.
Beth Liebling
Beth Liebling is an American musician and co-founder/bassist of the experimental rock band Hovercraft, known also for her long-term relationship with Pearl Jam frontman Eddie Vedder.
-
D.
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.
-
E.
Liza Snyder
Liza Snyder is an American television actress best known for her comedic roles on sitcoms such as "Yes, Dear" and "Man with a Plan."
- 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: Rochelle Lieber Triple: [Lieber, hasNotableBearer, Rochelle Lieber]
Generated description
Rochelle Lieber is an American linguist renowned for her influential work in morphology and lexical semantics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rochelle Lieber Target entity description: Rochelle Lieber is an American linguist renowned for her influential work in morphology and lexical semantics.
-
A.
Deborah Liebling
Deborah Liebling is an American television and film producer and executive known for her work on comedy projects.
-
B.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
C.
Beth Liebling
Beth Liebling is an American musician and co-founder/bassist of the experimental rock band Hovercraft, known also for her long-term relationship with Pearl Jam frontman Eddie Vedder.
-
D.
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.
-
E.
Liza Snyder
Liza Snyder is an American television actress best known for her comedic roles on sitcoms such as "Yes, Dear" and "Man with a Plan."
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546b8fd48190ae90e80785b2e2d1 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0d6947c819080d33199d331724c |
completed | May 3, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69f6c277e6248190870b3bf9869716a7 |
completed | May 3, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c38bc0b08190b76cb0853d99ad82 |
completed | May 3, 2026, 3:39 a.m. |
Created at: April 8, 2026, 9:57 p.m.