Triple
T5532859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enter Nowhere |
E145089
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Shane Van Dyke |
E299535
|
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: Shane Van Dyke | Statement: [Enter Nowhere, screenwriter, Shane Van Dyke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shane Van Dyke Context triple: [Enter Nowhere, screenwriter, Shane Van Dyke]
-
A.
Shane Van Dyke
chosen
Shane Van Dyke is an American actor, screenwriter, and director known for his work in film and television, often collaborating with members of the Van Dyke family.
-
B.
Shane Vendrell
Shane Vendrell is a volatile and morally compromised detective on the TV series "The Shield," known for his loyalty to Vic Mackey and his descent into increasingly tragic and violent choices.
-
C.
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.
-
D.
Shane Hazen
Shane Hazen is a film editor known for his work on Terrence Malick’s romantic drama "To the Wonder."
-
E.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9ea2c88190a68642f5799bd8ff |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04ce1bce4819095559af19cf072f8 |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:34 p.m.