Triple
T6700386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porter Black |
E152862
|
entity |
| Predicate | usesObjectAs |
P2506
|
FINISHED |
| Object | alternate personality |
—
|
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: alternate personality | Statement: [Porter Black, usesObjectAs, alternate personality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesObjectAs Context triple: [Porter Black, usesObjectAs, alternate personality]
-
A.
usesObjective
Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
-
B.
isUsedAs
chosen
Indicates that one entity serves a particular function, role, or purpose as another entity.
-
C.
usesClass
Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
-
D.
storesObjectsAs
Indicates that one entity keeps or maintains other entities within it as stored items or contents.
-
E.
notableObject
Indicates that an entity is especially significant, famous, or noteworthy as an object in a given context or domain.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:05 p.m.