Triple
T21276581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Destination 3 |
E524403
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Erin Ulmer
Erin Ulmer is a goth high school student and one of the central teen characters who becomes entangled in Death’s design in the horror film Final Destination 3.
|
E1535312
|
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: Erin Ulmer | Statement: [Final Destination 3, mainCharacter, Erin Ulmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erin Ulmer Context triple: [Final Destination 3, mainCharacter, Erin Ulmer]
-
A.
Erin Westerman
Erin Westerman is a film producer known for her work on the romantic comedy "Always Be My Maybe" and other contemporary studio projects.
-
B.
Erin Allegretti
Erin Allegretti is an actress known for her role in the critically acclaimed 2017 independent drama film "Columbus."
-
C.
Erin Gerasimovich
Erin Gerasimovich is an American child actress known for her role in the thriller film "Prisoners" and appearances in various television series.
-
D.
Erin Daniels
Erin Daniels is an American actress best known for her role as Dana Fairbanks on the television drama series "The L Word."
-
E.
Erin Burkett
Erin Burkett is an American music industry executive and co-founder of the influential punk rock record label Fat Wreck Chords.
- 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: Erin Ulmer Triple: [Final Destination 3, mainCharacter, Erin Ulmer]
Generated description
Erin Ulmer is a goth high school student and one of the central teen characters who becomes entangled in Death’s design in the horror film Final Destination 3.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erin Ulmer Target entity description: Erin Ulmer is a goth high school student and one of the central teen characters who becomes entangled in Death’s design in the horror film Final Destination 3.
-
A.
Erin Westerman
Erin Westerman is a film producer known for her work on the romantic comedy "Always Be My Maybe" and other contemporary studio projects.
-
B.
Erin Allegretti
Erin Allegretti is an actress known for her role in the critically acclaimed 2017 independent drama film "Columbus."
-
C.
Erin Gerasimovich
Erin Gerasimovich is an American child actress known for her role in the thriller film "Prisoners" and appearances in various television series.
-
D.
Erin Daniels
Erin Daniels is an American actress best known for her role as Dana Fairbanks on the television drama series "The L Word."
-
E.
Erin Burkett
Erin Burkett is an American music industry executive and co-founder of the influential punk rock record label Fat Wreck Chords.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736577fd48190a0038a6ac5678668 |
completed | April 21, 2026, 8:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0c6fec88190a7f334178a30d9dc |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af1e319848190bd12804239ba4d89 |
completed | May 18, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af29431648190a506d5e1a4fc9ce7 |
completed | May 18, 2026, 11:05 a.m. |
Created at: April 16, 2026, 4:02 p.m.