Triple
T35349189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Is the Magic # |
E1020827
|
entity |
| Predicate | hasTitleSymbol |
P103300
|
FINISHED |
| Object | # |
—
|
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: # | Statement: [One Is the Magic #, hasTitleSymbol, #]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleSymbol Context triple: [One Is the Magic #, hasTitleSymbol, #]
-
A.
hasSymbolicTitle
Indicates that an entity holds a title or designation that is primarily symbolic or honorary rather than functional or operational.
-
B.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
C.
hasTitleFeature
chosen
Indicates that an entity possesses a specific characteristic, attribute, or element related to its title.
-
D.
hasTitleSystem
Indicates that an entity is associated with, or governed by, a particular title management or titling system.
-
E.
hasTitleOf
Indicates that one entity holds, bears, or is designated by the official title, name, or rank specified by another entity.
- 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_69f76decd95c8190ae428f6a19d535de |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: May 3, 2026, 4:03 p.m.