Triple
T9913331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of 1000 Corpses |
E185800
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Erin Daniels |
E577285
|
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: Erin Daniels | Statement: [House of 1000 Corpses, castMember, Erin Daniels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erin Daniels Context triple: [House of 1000 Corpses, castMember, Erin Daniels]
-
A.
Erin Daniels
chosen
Erin Daniels is an American actress best known for her role as Dana Fairbanks on the television drama series "The L Word."
-
B.
Erin Burkett
Erin Burkett is an American music industry executive and co-founder of the influential punk rock record label Fat Wreck Chords.
-
C.
Erin Reagan
Erin Reagan is a principled assistant district attorney and member of the Reagan family on the television series "Blue Bloods."
-
D.
Erin Lindsay
Erin Lindsay is a tough yet compassionate former street kid turned detective in the Chicago Police Department’s Intelligence Unit, portrayed by Sophia Bush in the TV series "Chicago P.D."
-
E.
Erin Kelley
Erin Kelley is a lively main character known for her passion for music and her love of dancing.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9333d2e708190b0c8ec679bcb6ade |
completed | April 10, 2026, 5:28 p.m. |
Created at: March 30, 2026, 8:41 p.m.