Triple
T35362180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FBI Special Agent Sarah Ashburn |
E1021519
|
entity |
| Predicate | relationshipWithShannonMullins |
P206952
|
FINISHED |
| Object | reluctant partners to close friends |
—
|
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: reluctant partners to close friends | Statement: [FBI Special Agent Sarah Ashburn, relationshipWithShannonMullins, reluctant partners to close friends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithShannonMullins Context triple: [FBI Special Agent Sarah Ashburn, relationshipWithShannonMullins, reluctant partners to close friends]
-
A.
relationshipWithAnnShankland
Indicates that an entity has some form of personal or professional relationship with Ann Shankland.
-
B.
relationshipTypeWithShaneMcCutcheon
Indicates the specific nature or category of relationship that an entity has with Shane McCutcheon.
-
C.
relationshipTypeWithAnnShankland
Indicates the specific type or nature of the relationship that an entity has with Ann Shankland.
-
D.
relationshipToMichelle
Indicates the specific type of relationship or connection that an entity has to Michelle.
-
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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.