Triple
T14413443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speak (2004 film) |
E357387
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Eric Lively |
E916664
|
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: Eric Lively | Statement: [Speak (2004 film), castMember, Eric Lively]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Lively Context triple: [Speak (2004 film), castMember, Eric Lively]
-
A.
Eric Lively
chosen
Eric Lively is an American actor known for roles in films like "American Pie" and "The Butterfly Effect 2" and the TV series "The L Word."
-
B.
Jason Lively
Jason Lively is an American actor best known for playing Rusty Griswold in the comedy film "National Lampoon's European Vacation."
-
C.
Matt Shively
Matt Shively is an American actor best known for his comedic roles on television, including his co-starring role in the sitcom "Lopez vs Lopez."
-
D.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
E.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd1bb1c48190b5d2b4167c756abf |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 1:17 a.m.