Triple
T32418889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Carter |
E828393
|
entity |
| Predicate | hasUnfilteredLookAt |
P186976
|
FINISHED |
| Object | personal life of Lil Wayne |
—
|
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: personal life of Lil Wayne | Statement: [The Carter, hasUnfilteredLookAt, personal life of Lil Wayne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnfilteredLookAt Context triple: [The Carter, hasUnfilteredLookAt, personal life of Lil Wayne]
-
A.
hasViewThrough
Indicates that one entity can be seen or visually perceived through another entity acting as an intermediate medium or opening.
-
B.
hasFieldOfView
Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
-
C.
hasParticularView
Indicates that one entity holds, expresses, or is characterized by a specific opinion, perspective, or standpoint regarding something.
-
D.
hasViewingPointFor
Indicates that one entity serves as a vantage point or location from which another entity can be viewed or observed.
-
E.
hasLookout
Indicates that one entity serves as a lookout or watchful observer for another entity, monitoring for potential events, threats, or changes.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: May 1, 2026, 12:54 a.m.