Triple
T1958339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One of Those Days |
E42320
|
entity |
| Predicate | followsInCareerPhase |
P19158
|
FINISHED |
| Object | post-Bodyguard era of Whitney Houston |
—
|
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-Bodyguard era of Whitney Houston | Statement: [One of Those Days, followsInCareerPhase, post-Bodyguard era of Whitney Houston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInCareerPhase Context triple: [One of Those Days, followsInCareerPhase, post-Bodyguard era of Whitney Houston]
-
A.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
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.
hasCareerTrack
Indicates that an entity is associated with or follows a particular career path or professional progression.
-
D.
followedByRoleInCareerOf
Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
-
E.
laterCareer
chosen
Indicates that the associated information or events pertain to a later stage or phase in an entity’s professional life or career trajectory.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.