Triple
T2821570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Lumet |
E54820
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Jenny Lumet
Jenny Lumet is an American screenwriter and actress best known for writing the film "Rachel Getting Married" and for her work on several prominent television series.
|
E302576
|
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: Jenny Lumet | Statement: [Sidney Lumet, child, Jenny Lumet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenny Lumet Context triple: [Sidney Lumet, child, Jenny Lumet]
-
A.
Mary Forman
Mary Forman is known primarily as the spouse of civil rights leader and activist James Forman.
-
B.
Zosia Mamet
Zosia Mamet is an American actress best known for her role as the eccentric and fast-talking Shoshanna Shapiro on the HBO series "Girls."
-
C.
Liz Goldwyn
Liz Goldwyn is an American filmmaker, author, and artist known for her work exploring fashion history, sexuality, and feminist themes.
-
D.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
-
E.
Lee Russell
Lee Russell was an American photographer known for his work documenting rural life and poverty in the United States as part of the Farm Security Administration project during the Great Depression.
- 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: Jenny Lumet Triple: [Sidney Lumet, child, Jenny Lumet]
Generated description
Jenny Lumet is an American screenwriter and actress best known for writing the film "Rachel Getting Married" and for her work on several prominent television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jenny Lumet Target entity description: Jenny Lumet is an American screenwriter and actress best known for writing the film "Rachel Getting Married" and for her work on several prominent television series.
-
A.
Mary Forman
Mary Forman is known primarily as the spouse of civil rights leader and activist James Forman.
-
B.
Zosia Mamet
Zosia Mamet is an American actress best known for her role as the eccentric and fast-talking Shoshanna Shapiro on the HBO series "Girls."
-
C.
Liz Goldwyn
Liz Goldwyn is an American filmmaker, author, and artist known for her work exploring fashion history, sexuality, and feminist themes.
-
D.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
-
E.
Lee Russell
Lee Russell was an American photographer known for his work documenting rural life and poverty in the United States as part of the Farm Security Administration project during the Great Depression.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde704af88190a132626acc99745f |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8b344ec8190948b26a5101fb183 |
completed | March 10, 2026, 9:47 a.m. |
| NEDg | Description generation | batch_69afe9a000c4819085be1794bff0d506 |
completed | March 10, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0010b0ddc8190b4bfb18448f88077 |
completed | March 10, 2026, 11:31 a.m. |
Created at: March 6, 2026, 9:59 p.m.