Triple
T38570049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleaver |
E929239
|
entity |
| Predicate | reflectsLifeOf |
P43852
|
FINISHED |
| Object | Christopher Moltisanti |
—
|
NE NERFINISHED |
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: Christopher Moltisanti | Statement: [Cleaver, reflectsLifeOf, Christopher Moltisanti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsLifeOf Context triple: [Cleaver, reflectsLifeOf, Christopher Moltisanti]
-
A.
followsLifeOf
chosen
Indicates that one entity’s narrative, development, or progression is tracked or depicted over the course of that entity’s life.
-
B.
reflects
Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another entity.
-
C.
followsDayInLifeOf
Indicates a relationship where one entity (such as a work or narrative) tracks or portrays the typical daily activities and experiences of another entity over the course of a day.
-
D.
reflectsIdeasOf
Indicates that one entity expresses, mirrors, or embodies the ideas, viewpoints, or conceptual content originating from another entity.
-
E.
hasInnerLife
Indicates that an entity possesses an internal, subjective mental or emotional experience.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.