Triple
T15698449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Party Crashers |
E380527
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Gage Clarke |
E493699
|
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: Gage Clarke | Statement: [The Party Crashers, hasCastMember, Gage Clarke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gage Clarke Context triple: [The Party Crashers, hasCastMember, Gage Clarke]
-
A.
Gage Clarke
chosen
Gage Clarke was an American character actor known for his supporting roles in mid-20th-century film and television.
-
B.
Gage Hamilton
Gage Hamilton is a curator and organizer known for leading large-scale public art and mural projects, particularly in urban districts.
-
C.
Garett Maggart
Garett Maggart is an American actor best known for his role as Blair Sandburg on the television series "The Sentinel."
-
D.
Nick Cogley
Nick Cogley was an early 20th-century American character actor known for his roles in silent films.
-
E.
Dylan McLaughlin
Dylan McLaughlin is an American former child actor best known for his roles in family comedies and dramas in the early 2000s.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6c3328819081325b702ca92862 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7571f1888190b83af75ec9c7432b |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.