Triple
T23264336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Mary, Crazy Larry |
E582103
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object |
Mary
Mary is the daring female protagonist in the 1974 action film "Dirty Mary, Crazy Larry," known for her rebellious attitude and involvement in a high-speed crime spree.
|
E1584049
|
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: Mary | Statement: [Dirty Mary, Crazy Larry, leadCharacter, Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Context triple: [Dirty Mary, Crazy Larry, leadCharacter, Mary]
-
A.
Mary
Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
-
B.
Mary
Mary is the given first name of American actress, author, and radio host Marilu Henner.
-
C.
Mary
Mary is the introspective space explorer and scientist who narrates and reflects on her interstellar encounters in Naomi Mitchison’s science fiction novel "Memoirs of a Spacewoman."
-
D.
Mary
Mary is the given name of Cecil Mary Nowell Dering Tupper, likely a British individual with a traditional multi-part name.
-
E.
Mary
Mary is a person who is a constituent or component part of the larger entity known as Mary Jo.
- 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: Mary Triple: [Dirty Mary, Crazy Larry, leadCharacter, Mary]
Generated description
Mary is the daring female protagonist in the 1974 action film "Dirty Mary, Crazy Larry," known for her rebellious attitude and involvement in a high-speed crime spree.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Target entity description: Mary is the daring female protagonist in the 1974 action film "Dirty Mary, Crazy Larry," known for her rebellious attitude and involvement in a high-speed crime spree.
-
A.
Mary
Mary is the birth name of American actress and model Bo Derek, known for her breakout role in the 1979 film "10."
-
B.
Mary
Mary is a fictional character played by American actress Toni Trucks, known for her supporting roles in film and television.
-
C.
Mary
Mary is the birth name of American actress Sean Young, known for her roles in films such as "Blade Runner" and "Dune."
-
D.
Mary
Mary is a character portrayed by actress and filmmaker Alice Englert.
-
E.
Mary
Mary is the given name of American actress Mari Blanchard, known for her roles in 1950s and 1960s films and television.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194cb76c48190869915cd93b44fcc |
completed | April 29, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5db7f118819098050e612dd98bef |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c60d3222c8190a67851d211231d9a |
completed | May 19, 2026, 1:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c615bbce8819086cdb1993b952d9a |
completed | May 19, 2026, 1:10 p.m. |
Created at: April 17, 2026, 4:11 p.m.