Triple
T33309023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I’ll Be Your Girl (single) |
E852817
|
entity |
| Predicate | describesCareerPhase |
P136030
|
FINISHED |
| Object | transition into recording artist |
—
|
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: transition into recording artist | Statement: [I’ll Be Your Girl (single), describesCareerPhase, transition into recording artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesCareerPhase Context triple: [I’ll Be Your Girl (single), describesCareerPhase, transition into recording artist]
-
A.
showsCareerPhaseOf
Indicates that something depicts or represents a particular phase or stage in an entity’s career.
-
B.
describesPhase
chosen
Indicates that one entity specifies or characterizes the particular phase or stage of another entity or process.
-
C.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
D.
depictsCareerStage
Indicates that one entity visually represents or portrays a particular stage or phase in another entity’s career or professional development.
-
E.
describesCareerOf
Indicates that one entity provides a description or characterization of the professional career of another entity.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 1, 2026, 1:33 a.m.