Triple
T35231749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perjury: The Hiss–Chambers Case |
E1017254
|
entity |
| Predicate | positionOnHissGuilt |
P141317
|
FINISHED |
| Object | supports the view that Alger Hiss was guilty |
—
|
LITERAL 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: supports the view that Alger Hiss was guilty | Statement: [Perjury: The Hiss–Chambers Case, positionOnHissGuilt, supports the view that Alger Hiss was guilty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnHissGuilt Context triple: [Perjury: The Hiss–Chambers Case, positionOnHissGuilt, supports the view that Alger Hiss was guilty]
-
A.
positionOnConviction
chosen
Indicates a stance or viewpoint that an entity holds regarding a specific conviction, belief, or firmly held position.
-
B.
revealsGuiltOf
Indicates that one entity exposes or makes evident the guilt or culpability of another entity.
-
C.
positionOnCrime
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
-
D.
guiltyOf
Indicates that an entity has been judged or determined to have committed a particular offense, crime, or wrongful act.
-
E.
positionOnAccusations
Indicates the stance or viewpoint an entity takes regarding specific accusations or allegations.
- F. None of above.
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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7bc112088190851501fb2a16103d |
completed | May 9, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69ff7b45507c81909753866ad733601a |
completed | May 9, 2026, 6:21 p.m. |
Created at: May 3, 2026, 4:02 p.m.