Triple
T17018339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Final Girls |
E412879
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
M. A. Fortin
M. A. Fortin is a screenwriter and producer best known for co-writing the meta-horror comedy film "The Final Girls."
|
E1245549
|
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: M. A. Fortin | Statement: [The Final Girls, screenwriter, M. A. Fortin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M. A. Fortin Context triple: [The Final Girls, screenwriter, M. A. Fortin]
-
A.
J.G. Faherty
J.G. Faherty is an American horror and dark fiction author known for his novels, novellas, and short stories in the genre.
-
B.
Michael Fortier
Michael Fortier is an American former associate of Timothy McVeigh who became known for his involvement in and testimony about the 1995 Oklahoma City bombing.
-
C.
M. S. Reardon
M. S. Reardon was an early 20th-century film actor who appeared in the 1918 silent drama "Eye for Eye."
-
D.
Robert D. San Souci
Robert D. San Souci was an American author and storyteller best known for his adaptations of folklore and fairy tales, including providing the story basis for Disney’s animated film "Mulan."
-
E.
Jean Gilson
Jean Gilson was an architect involved in the design of the Berlaymont building, the headquarters of the European Commission in Brussels.
- 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: M. A. Fortin Triple: [The Final Girls, screenwriter, M. A. Fortin]
Generated description
M. A. Fortin is a screenwriter and producer best known for co-writing the meta-horror comedy film "The Final Girls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M. A. Fortin Target entity description: M. A. Fortin is a screenwriter and producer best known for co-writing the meta-horror comedy film "The Final Girls."
-
A.
J.G. Faherty
J.G. Faherty is an American horror and dark fiction author known for his novels, novellas, and short stories in the genre.
-
B.
Michael Fortier
Michael Fortier is an American former associate of Timothy McVeigh who became known for his involvement in and testimony about the 1995 Oklahoma City bombing.
-
C.
M. S. Reardon
M. S. Reardon was an early 20th-century film actor who appeared in the 1918 silent drama "Eye for Eye."
-
D.
Robert D. San Souci
Robert D. San Souci was an American author and storyteller best known for his adaptations of folklore and fairy tales, including providing the story basis for Disney’s animated film "Mulan."
-
E.
Jean Gilson
Jean Gilson was an architect involved in the design of the Berlaymont building, the headquarters of the European Commission in Brussels.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4d6cb881909b64b4368fd97fa9 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011bc4617081908ad2d4c0d35fe98a |
completed | May 10, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011c76d5b88190b5cda571231f5c7e |
completed | May 11, 2026, 12:01 a.m. |
Created at: April 10, 2026, 5:33 a.m.