Triple
T36654627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sméagol |
E904955
|
entity |
| Predicate | splitPersonality |
P136091
|
FINISHED |
| Object | Sméagol side |
—
|
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: Sméagol side | Statement: [Sméagol, splitPersonality, Sméagol side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: splitPersonality Context triple: [Sméagol, splitPersonality, Sméagol side]
-
A.
hasDifferentPersonalityIn
chosen
Indicates that an entity exhibits a different personality or character traits within a specified context, setting, or situation.
-
B.
hasMainPersonality
Indicates that one entity possesses or is characterized by a primary or dominant personality associated with another entity.
-
C.
featuresNumberOfPersonalities
Indicates that an entity is characterized by or contains a specified number of distinct personalities.
-
D.
usedPersonality
Indicates that one entity employed or applied another entity’s personality, traits, or persona in some context or interaction.
-
E.
spinOffCharacter
Indicates that one character originates as a derivative or secondary creation from another, typically branching off into its own distinct narrative or work.
- 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.