Triple
T8639877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gone Girl |
E204618
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Missi Pyle |
E293062
|
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: Missi Pyle | Statement: [Gone Girl, starring, Missi Pyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Missi Pyle Context triple: [Gone Girl, starring, Missi Pyle]
-
A.
Missi Pyle
chosen
Missi Pyle is an American actress and singer known for her comedic and character roles in films such as "Galaxy Quest," "Dodgeball," and "Charlie and the Chocolate Factory."
-
B.
Audrina Patridge
Audrina Patridge is an American television personality and actress best known for starring on the MTV reality series "The Hills."
-
C.
Torri Higginson
Torri Higginson is a Canadian actress best known for her role as Dr. Elizabeth Weir on the science fiction television series Stargate Atlantis.
-
D.
Piper Perabo
Piper Perabo is an American actress known for her roles in films like "Coyote Ugly" and the TV series "Covert Affairs."
-
E.
Emily Miles
Emily Miles is a British civil servant who serves as the Chief Executive of the UK’s Food Standards Agency, overseeing food safety and public health regulation.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47650a14819094855aa8d062ebbc |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28516bd08190b69b314aea423d22 |
completed | April 3, 2026, 2:39 a.m. |
Created at: March 30, 2026, 6:28 p.m.