Triple
T17018366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Final Girls |
E412879
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Chris Briggs
Chris Briggs is a character in the horror-comedy film "The Final Girls," serving as the charming love interest and supportive friend within the movie’s meta slasher storyline.
|
E1247742
|
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: Chris Briggs | Statement: [The Final Girls, character, Chris Briggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Briggs Context triple: [The Final Girls, character, Chris Briggs]
-
A.
Chris Brigham
Chris Brigham is a film producer known for his work on major feature films, including the drama "By the Sea."
-
B.
Mark Brinkley
Mark Brinkley is a British writer and self-build expert best known for his practical guides on house construction and renovation.
-
C.
Sean Biggerstaff
Sean Biggerstaff is a Scottish actor best known for playing Oliver Wood in the Harry Potter film series.
-
D.
Brian Rogers
Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
-
E.
Chris Ridenhour
Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
- 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: Chris Briggs Triple: [The Final Girls, character, Chris Briggs]
Generated description
Chris Briggs is a character in the horror-comedy film "The Final Girls," serving as the charming love interest and supportive friend within the movie’s meta slasher storyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Briggs Target entity description: Chris Briggs is a character in the horror-comedy film "The Final Girls," serving as the charming love interest and supportive friend within the movie’s meta slasher storyline.
-
A.
Chris Brigham
Chris Brigham is a film producer known for his work on major feature films, including the drama "By the Sea."
-
B.
Mark Brinkley
Mark Brinkley is a British writer and self-build expert best known for his practical guides on house construction and renovation.
-
C.
Sean Biggerstaff
Sean Biggerstaff is a Scottish actor best known for playing Oliver Wood in the Harry Potter film series.
-
D.
Brian Rogers
Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
-
E.
Chris Ridenhour
Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
- 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_6a012334c3b48190b125ab926450c45b |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a0125420bd08190b969849a206a67d1 |
completed | May 11, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0125c7c4f48190b570dabd341b1ef1 |
completed | May 11, 2026, 12:41 a.m. |
Created at: April 10, 2026, 5:33 a.m.