Triple
T31183823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naked Snake |
E794980
|
entity |
| Predicate | clonedAs |
P166923
|
FINISHED |
| Object | Solid Snake |
—
|
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: Solid Snake | Statement: [Naked Snake, clonedAs, Solid Snake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clonedAs Context triple: [Naked Snake, clonedAs, Solid Snake]
-
A.
hasCopyOrClone
Indicates that one entity exists as a copy or clone of another, preserving the original’s content or structure.
-
B.
cloneGeneration
chosen
Indicates the creation of a new entity as an exact or near-exact copy (clone) of an existing entity.
-
C.
reconstructedAs
Indicates that one entity has been rebuilt, recreated, or inferred based on evidence, models, or partial information from another entity.
-
D.
replicaOf
Indicates that one entity is an exact or near-exact copy of another entity, preserving its form, structure, or content.
-
E.
cloneStateIntroduced
Indicates that a particular state or condition was created or brought into existence as a result of a cloning process.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:08 p.m.