Triple
T13735802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ooh I Love You Rakeem |
E329941
|
entity |
| Predicate | chronologicallyPrecedesCareerPhase |
P110782
|
FINISHED |
| Object | RZA’s work with Wu-Tang Clan |
—
|
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: RZA’s work with Wu-Tang Clan | Statement: [Ooh I Love You Rakeem, chronologicallyPrecedesCareerPhase, RZA’s work with Wu-Tang Clan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicallyPrecedesCareerPhase Context triple: [Ooh I Love You Rakeem, chronologicallyPrecedesCareerPhase, RZA’s work with Wu-Tang Clan]
-
A.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
B.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
C.
refersToEraOfCareer
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
-
D.
designedDuringCareerStage
Indicates that something was designed while the person was in a specific stage of their career.
-
E.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:55 p.m.