Triple
T8607666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Vanishing Legion |
E203841
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Walter Miller |
E280128
|
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: Walter Miller | Statement: [The Vanishing Legion, hasCastMember, Walter Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Miller Context triple: [The Vanishing Legion, hasCastMember, Walter Miller]
-
A.
Walter Miller
chosen
Walter Miller was an early 20th-century American film actor known for his work in silent cinema.
-
B.
Raymond Boyd
Raymond Boyd is a linguist known for his research on the Adamawa–Ubangi branch of the Niger-Congo language family.
-
C.
Henry Beam Piper
Henry Beam Piper was an American science fiction author best known for his mid-20th-century works such as the Terro-Human Future History stories and the novel "Little Fuzzy."
-
D.
Jack Williamson
Jack Williamson was an influential American science fiction author whose long career and imaginative works helped define the genre’s Golden Age.
-
E.
Clifford D. Simak
Clifford D. Simak was an American science fiction author renowned for his humane, pastoral style and influential works such as "City" and "Way Station."
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ec301881908ce148a3f07069fe |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c3ed827c8190899cb2ae9561765e |
completed | April 5, 2026, 2:07 a.m. |
Created at: March 30, 2026, 6:25 p.m.