Triple
T34487410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky Stanicky |
E885366
|
entity |
| Predicate | fictionalFriendName |
P197915
|
FINISHED |
| Object | Ricky Stanicky |
—
|
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: Ricky Stanicky | Statement: [Ricky Stanicky, fictionalFriendName, Ricky Stanicky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalFriendName Context triple: [Ricky Stanicky, fictionalFriendName, Ricky Stanicky]
-
A.
fictionalCharacterAssisted
Indicates that one fictional character provided help, support, or assistance to another fictional character.
-
B.
fictionalCharacterFrom
Indicates that a fictional character originates from, or is created within, a particular work, universe, or source.
-
C.
fictionalBirthName
Indicates the original personal name assigned to a fictional character at birth, as distinct from any later or alternate names they may use.
-
D.
fictionalPersonaOf
Indicates that one entity is a fictional or narrative persona, alter ego, or character representation of another (typically real or primary) entity.
-
E.
fictionalCharacter
Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
- F. None of above. chosen
Provenance (4 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
| PDg | Predicate description generation | batch_69feb8e6ed7881908446745c89c30784 |
completed | May 9, 2026, 4:32 a.m. |
Created at: May 1, 2026, 2:01 a.m.