Triple
T14080044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Woman King |
E338841
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Cathy Schulman
Cathy Schulman is an Academy Award–winning American film and television producer known for championing female-driven stories and advancing gender equity in Hollywood.
|
E1155979
|
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: Cathy Schulman | Statement: [The Woman King, producer, Cathy Schulman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cathy Schulman Context triple: [The Woman King, producer, Cathy Schulman]
-
A.
Melissa Schuman
Melissa Schuman is an American singer and actress best known as a member of the girl group Dream and for her roles in early-2000s teen films.
-
B.
Cathy Shumway
Cathy Shumway is a character from the satirical 1970s television soap opera "Mary Hartman, Mary Hartman."
-
C.
Cathy Engelbert
Cathy Engelbert is an American business executive who became the first commissioner of the WNBA after previously serving as CEO of Deloitte.
-
D.
Betsy Sodaro
Betsy Sodaro is an American comedian and character actress known for her high-energy performances in television comedies and improv.
-
E.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
- 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: Cathy Schulman Triple: [The Woman King, producer, Cathy Schulman]
Generated description
Cathy Schulman is an Academy Award–winning American film and television producer known for championing female-driven stories and advancing gender equity in Hollywood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cathy Schulman Target entity description: Cathy Schulman is an Academy Award–winning American film and television producer known for championing female-driven stories and advancing gender equity in Hollywood.
-
A.
Melissa Schuman
Melissa Schuman is an American singer and actress best known as a member of the girl group Dream and for her roles in early-2000s teen films.
-
B.
Cathy Shumway
Cathy Shumway is a character from the satirical 1970s television soap opera "Mary Hartman, Mary Hartman."
-
C.
Cathy Engelbert
Cathy Engelbert is an American business executive who became the first commissioner of the WNBA after previously serving as CEO of Deloitte.
-
D.
Betsy Sodaro
Betsy Sodaro is an American comedian and character actress known for her high-energy performances in television comedies and improv.
-
E.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a5c72008190a3c4df20480850c9 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1b7559448190b58c6119916774c8 |
completed | May 9, 2026, 11:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bdb39b481908f0b1df595837bc4 |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 9, 2026, 10:21 p.m.