Triple
T34302394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Hunley |
E880215
|
entity |
| Predicate | positionTowardsIMF |
P199769
|
FINISHED |
| Object | advocates for disbanding the IMF at first |
—
|
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: advocates for disbanding the IMF at first | Statement: [Alan Hunley, positionTowardsIMF, advocates for disbanding the IMF at first]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionTowardsIMF Context triple: [Alan Hunley, positionTowardsIMF, advocates for disbanding the IMF at first]
-
A.
positionInMass
Indicates that an entity occupies a specific location or role within a larger undifferentiated group, collection, or mass.
-
B.
positionOnIPR
Indicates the relative stance or role that one entity holds regarding another entity’s intellectual property rights.
-
C.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
D.
positionOften
Indicates that one entity frequently holds, occupies, or is located at a particular position relative to another entity or context.
-
E.
positionBased
Indicates a relationship determined by the relative or absolute position of entities, where the connection depends on where they are located rather than on their intrinsic properties.
- F. None of above. chosen
Provenance (4 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
| PDg | Predicate description generation | batch_69ff56edc4d081908f1d263e05cbd512 |
completed | May 9, 2026, 3:46 p.m. |
Created at: May 1, 2026, 1:57 a.m.