Triple
T22014680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Devil’s Whore |
E543676
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Martine Brant
Martine Brant is a screenwriter best known for co-writing the historical drama television series "The Devil’s Whore."
|
E1514603
|
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: Martine Brant | Statement: [The Devil’s Whore, writer, Martine Brant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martine Brant Context triple: [The Devil’s Whore, writer, Martine Brant]
-
A.
Janette Desautel
Janette Desautel is a fictional New Orleans chef and restaurateur featured as a central character in the television drama series "Treme."
-
B.
Anne Marno
Anne Marno is an alternate professional name used by the acclaimed American actress Anne Bancroft, known for her powerful performances on stage and screen.
-
C.
Marta Dusseldorp
Marta Dusseldorp is an Australian actress best known for her leading roles in television dramas such as "A Place to Call Home" and "Janet King."
-
D.
Marta Linden
Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
-
E.
Dorothée Blanck
Dorothée Blanck was a French actress best known for her role in Agnès Varda’s influential New Wave film "Cléo from 5 to 7."
- 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: Martine Brant Triple: [The Devil’s Whore, writer, Martine Brant]
Generated description
Martine Brant is a screenwriter best known for co-writing the historical drama television series "The Devil’s Whore."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martine Brant Target entity description: Martine Brant is a screenwriter best known for co-writing the historical drama television series "The Devil’s Whore."
-
A.
Janette Desautel
Janette Desautel is a fictional New Orleans chef and restaurateur featured as a central character in the television drama series "Treme."
-
B.
Anne Marno
Anne Marno is an alternate professional name used by the acclaimed American actress Anne Bancroft, known for her powerful performances on stage and screen.
-
C.
Marta Dusseldorp
Marta Dusseldorp is an Australian actress best known for her leading roles in television dramas such as "A Place to Call Home" and "Janet King."
-
D.
Marta Linden
Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
-
E.
Dorothée Blanck
Dorothée Blanck was a French actress best known for her role in Agnès Varda’s influential New Wave film "Cléo from 5 to 7."
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a774548190bcd98dc28f2d2c5f |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a737d8508819087e53c19ff49af71 |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a74e81da881908c73d864258dcdd5 |
completed | May 18, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a75cbb2408190b058713432b048a2 |
completed | May 18, 2026, 2:13 a.m. |
Created at: April 16, 2026, 8:22 p.m.