Triple
T26544094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Brown: Every Little Step |
E671476
|
entity |
| Predicate | basedOnProfessionOf |
P71047
|
FINISHED |
| Object | R&B singer |
—
|
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: R&B singer | Statement: [Bobby Brown: Every Little Step, basedOnProfessionOf, R&B singer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnProfessionOf Context triple: [Bobby Brown: Every Little Step, basedOnProfessionOf, R&B singer]
-
A.
basedOnProfession
chosen
Indicates that the relationship or action is determined or derived from a person’s profession or occupational role.
-
B.
basedOnCareerOf
Indicates that something (such as a work, character, or storyline) is derived from, inspired by, or modeled on the career or professional life of a particular person.
-
C.
basedOnWorkTitle
Indicates that something is derived from, adapted from, or otherwise created based on a work identified by its title.
-
D.
isCareerBased
Indicates that something is determined, structured, or oriented around a person’s career or professional path.
-
E.
basedOnExpertiseOf
Indicates that something is determined, derived, or justified using the knowledge, skills, or judgment of a particular expert or group of experts.
- 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_69eeb3206e748190b90c85cc81f38c91 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 1:43 a.m.