Triple
T17018338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Final Girls |
E412879
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Todd Strauss-Schulson |
E979151
|
NE FINISHED |
How this triple was built (2 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: Todd Strauss-Schulson | Statement: [The Final Girls, director, Todd Strauss-Schulson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Strauss-Schulson Context triple: [The Final Girls, director, Todd Strauss-Schulson]
-
A.
Todd Strauss-Schulson
chosen
Todd Strauss-Schulson is an American film director known for his work in comedy and genre-blending films such as "A Very Harold & Kumar 3D Christmas" and the horror-comedy "The Final Girls."
-
B.
Curtis Hudson
Curtis Hudson was an American songwriter best known for co-writing Madonna’s hit song “Holiday.”
-
C.
Aaron Scheinfeld
Aaron Scheinfeld was a co-founder of ManpowerGroup, a major global staffing and workforce solutions company.
-
D.
Drew Van Acker
Drew Van Acker is an American actor best known for his roles on television series such as "Pretty Little Liars" and "Devious Maids."
-
E.
Logan Marshall-Green
Logan Marshall-Green is an American actor and director known for his roles in films like "Prometheus" and "Upgrade" as well as various television series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_6a0139ef70208190b26029511e91afb0 |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:33 a.m.