Triple
T27047755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stig Erik Leopold Anderson |
E684686
|
entity |
| Predicate | roleInRelationToABBA |
P192041
|
FINISHED |
| Object | manager |
—
|
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: manager | Statement: [Stig Erik Leopold Anderson, roleInRelationToABBA, manager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRelationToABBA Context triple: [Stig Erik Leopold Anderson, roleInRelationToABBA, manager]
-
A.
relationshipWithBlondie
Indicates that there exists some form of relationship or connection between an entity and Blondie.
-
B.
favoriteBand
Indicates that one entity is the band that another entity likes the most among all bands.
-
C.
genreRelation
Indicates a relationship where one entity is categorized as having, belonging to, or being associated with a particular genre defined by another entity.
-
D.
relationshipToTheDude
Indicates the specific type of personal or social relationship that one entity has to the individual referred to as "the Dude."
-
E.
genreOfRelative
Indicates that one entity is the genre category associated with a relative of another entity.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69fcf36bb86c8190a0a0ccf47cb56e5c |
completed | May 7, 2026, 8:17 p.m. |
Created at: April 27, 2026, 8:11 a.m.