Triple
T15199248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hysteria |
E363220
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Tanya Wexler
Tanya Wexler is an American film director best known for her period romantic comedy "Hysteria" and her work on character-driven independent films.
|
E1242219
|
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: Tanya Wexler | Statement: [Hysteria, director, Tanya Wexler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanya Wexler Context triple: [Hysteria, director, Tanya Wexler]
-
A.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
B.
Beth Wexler
Beth Wexler is a character in the film "Volunteers," a 1985 comedy about Peace Corps volunteers in Thailand.
-
C.
Shira Wolosky Weiss
Shira Wolosky Weiss is a scholar and author known for her work at the intersection of Jewish thought, literature, and philosophy, including co-authoring the book *Defending Identity*.
-
D.
Deborah Waxman
Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
-
E.
Shana Goldberg-Meehan
Shana Goldberg-Meehan is an American television writer and producer best known for her work on the sitcoms "Friends" and its spin-off "Joey."
- 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: Tanya Wexler Triple: [Hysteria, director, Tanya Wexler]
Generated description
Tanya Wexler is an American film director best known for her period romantic comedy "Hysteria" and her work on character-driven independent films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanya Wexler Target entity description: Tanya Wexler is an American film director best known for her period romantic comedy "Hysteria" and her work on character-driven independent films.
-
A.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
B.
Beth Wexler
Beth Wexler is a character in the film "Volunteers," a 1985 comedy about Peace Corps volunteers in Thailand.
-
C.
Shira Wolosky Weiss
Shira Wolosky Weiss is a scholar and author known for her work at the intersection of Jewish thought, literature, and philosophy, including co-authoring the book *Defending Identity*.
-
D.
Deborah Waxman
Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
-
E.
Shana Goldberg-Meehan
Shana Goldberg-Meehan is an American television writer and producer best known for her work on the sitcoms "Friends" and its spin-off "Joey."
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfb725d48190bdca0a85ca7f440c |
completed | May 10, 2026, 6:34 p.m. |
| NEDg | Description generation | batch_6a00d1a88c188190bde3fe3c01efb453 |
completed | May 10, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d20ae52c8190b4c45af68aa40399 |
completed | May 10, 2026, 6:44 p.m. |
Created at: April 10, 2026, 3:10 a.m.