Triple
T29965727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Worldwide |
E761173
|
entity |
| Predicate | selfAppliedNickname |
P163927
|
FINISHED |
| Object | Mr. 305 |
—
|
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: Mr. 305 | Statement: [Mr. Worldwide, selfAppliedNickname, Mr. 305]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selfAppliedNickname Context triple: [Mr. Worldwide, selfAppliedNickname, Mr. 305]
-
A.
usesNicknameIn
chosen
Indicates that one entity refers to another entity by a specific nickname within a particular context or setting.
-
B.
localNickname
Indicates that an entity is known by a particular nickname within a specific local or regional context.
-
C.
usesNicknameOf
Indicates that one entity refers to another entity by a nickname derived from or associated with that other entity’s name.
-
D.
usedAsNicknameSince
Indicates that one entity has been used as a nickname for another entity starting from a specified point in time.
-
E.
changedNicknameTo
Indicates that an entity has altered another entity’s nickname to a specified new nickname.
- 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67868e8548190bc34423005da2c0c |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:30 p.m.