Triple
T26987795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Continental (New York) |
E679779
|
entity |
| Predicate | enforcesNeutralityAgainst |
P66113
|
FINISHED |
| Object | all guests |
—
|
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: all guests | Statement: [The Continental (New York), enforcesNeutralityAgainst, all guests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enforcesNeutralityAgainst Context triple: [The Continental (New York), enforcesNeutralityAgainst, all guests]
-
A.
guaranteedNeutralityOf
chosen
Indicates that one entity ensures and commits to maintaining impartiality or non-involvement of another entity in a given context or interaction.
-
B.
isNeutral
Indicates that an entity maintains a balanced, unbiased, or non-aligned stance with respect to other entities, options, or conflicting sides.
-
C.
isNeutralOn
Indicates a stance of neither support nor opposition toward a subject, remaining impartial or undecided.
-
D.
isNeutralAbout
Indicates that one entity has no strong positive or negative opinion, preference, or stance toward another entity or subject.
-
E.
usesNeutral
Indicates that one entity employs or applies something in a neutral, unbiased, or non-aligned manner toward another entity or context.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 6:49 a.m.