Triple
T5321559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Women (1939 film) |
E121684
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Crystal Allen
Crystal Allen is a scheming salesgirl and one of the central antagonists in the classic 1939 comedy-drama film "The Women."
|
E512220
|
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: Crystal Allen | Statement: [The Women (1939 film), mainCharacter, Crystal Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crystal Allen Context triple: [The Women (1939 film), mainCharacter, Crystal Allen]
-
A.
Jody Allen
Jody Allen is an American businesswoman and philanthropist, co-founder of Vulcan Inc. and sister of the late Microsoft co-founder Paul Allen.
-
B.
LeAnn Harvey
LeAnn Harvey is a savvy and ambitious political consultant character from the television series "House of Cards," portrayed by actress Neve Campbell.
-
C.
Valerie Curtin
Valerie Curtin is an American actress and screenwriter known for her work in film and television, including co-writing the acclaimed legal drama "...And Justice for All."
-
D.
Janis Allen
Janis Allen is a screenwriter best known for co-writing the 1979 comedy film "Meatballs."
-
E.
Lindsey Chapman
Lindsey Chapman is a British television and radio presenter best known for her work on nature and wildlife programmes.
- 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: Crystal Allen Triple: [The Women (1939 film), mainCharacter, Crystal Allen]
Generated description
Crystal Allen is a scheming salesgirl and one of the central antagonists in the classic 1939 comedy-drama film "The Women."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crystal Allen Target entity description: Crystal Allen is a scheming salesgirl and one of the central antagonists in the classic 1939 comedy-drama film "The Women."
-
A.
Jody Allen
Jody Allen is an American businesswoman and philanthropist, co-founder of Vulcan Inc. and sister of the late Microsoft co-founder Paul Allen.
-
B.
LeAnn Harvey
LeAnn Harvey is a savvy and ambitious political consultant character from the television series "House of Cards," portrayed by actress Neve Campbell.
-
C.
Valerie Curtin
Valerie Curtin is an American actress and screenwriter known for her work in film and television, including co-writing the acclaimed legal drama "...And Justice for All."
-
D.
Janis Allen
Janis Allen is a screenwriter best known for co-writing the 1979 comedy film "Meatballs."
-
E.
Lindsey Chapman
Lindsey Chapman is a British television and radio presenter best known for her work on nature and wildlife programmes.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85761ec48190879210af116ed8b9 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18a4dff48190bce18f0106c7a8e7 |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf1a493ddc8190ac5d1889b9d64ec2 |
completed | March 21, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1aa2fbec819088cd8be8505e4697 |
completed | March 21, 2026, 10:24 p.m. |
Created at: March 20, 2026, 1:59 p.m.