Triple
T8119166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Read My Mind |
E189559
|
entity |
| Predicate | isInCareerPhase |
P6708
|
FINISHED |
| Object | post-viral era of Rebecca Black |
—
|
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: post-viral era of Rebecca Black | Statement: [Read My Mind, isInCareerPhase, post-viral era of Rebecca Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCareerPhase Context triple: [Read My Mind, isInCareerPhase, post-viral era of Rebecca Black]
-
A.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
B.
isStageInCareerOf
chosen
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
C.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
D.
hasPhaseOfPlay
Indicates a relationship where a broader game or activity includes or is associated with a specific phase or segment of play.
-
E.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:33 p.m.