Triple
T38570050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleaver |
E929239
|
entity |
| Predicate | symbolicallyTargets |
P9907
|
FINISHED |
| Object | Tony Soprano |
—
|
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: Tony Soprano | Statement: [Cleaver, symbolicallyTargets, Tony Soprano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicallyTargets Context triple: [Cleaver, symbolicallyTargets, Tony Soprano]
-
A.
symbolicRoleOfTarget
Indicates that the target entity serves as a symbolic representation or emblem for another entity or concept.
-
B.
symbolicallyUses
chosen
Indicates that one entity employs another as a symbol or representation to convey meaning, ideas, or associations rather than for its literal or practical function.
-
C.
usesTargetsFrom
Indicates that one entity selects or operates on targets that are defined, provided, or referenced by another entity.
-
D.
intendedTargets
Indicates that an action, message, or object is specifically directed toward or meant to affect particular target entities.
-
E.
isSymbolic
Indicates that one entity serves as a symbol or representation of another entity, concept, or idea.
- 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.