Triple
T21609642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosambo |
E533266
|
entity |
| Predicate | relationshipTypeWithCommissionerSanders |
P144773
|
FINISHED |
| Object | ally |
—
|
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: ally | Statement: [Bosambo, relationshipTypeWithCommissionerSanders, ally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithCommissionerSanders Context triple: [Bosambo, relationshipTypeWithCommissionerSanders, ally]
-
A.
relationshipWithAnnShankland
Indicates that an entity has some form of personal or professional relationship with Ann Shankland.
-
B.
relationshipTypeWithAnnShankland
Indicates the specific type or nature of the relationship that an entity has with Ann Shankland.
-
C.
relationshipToGovernor
Indicates the specific familial, professional, or social relationship that one entity has to a governor.
-
D.
relationshipTypeWithShaneMcCutcheon
Indicates the specific nature or category of relationship that an entity has with Shane McCutcheon.
-
E.
hasPoliticalRelationshipWith
Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e7d1388190922a90cb91ec9fc4 |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:33 p.m.