Triple
T10997159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Björn Andrésen |
E259903
|
entity |
| Predicate | hasNotableAppearance |
P642
|
FINISHED |
| Object | androgynous beauty in youth |
—
|
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: androgynous beauty in youth | Statement: [Björn Andrésen, hasNotableAppearance, androgynous beauty in youth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAppearance Context triple: [Björn Andrésen, hasNotableAppearance, androgynous beauty in youth]
-
A.
hasNotableFeature
chosen
Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
-
B.
hasNotablePerformance
Indicates that an entity has delivered a performance that is distinguished, remarkable, or otherwise noteworthy in a particular context.
-
C.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
D.
hasNotableMultipleAppearances
Indicates that an entity appears multiple times in a context or medium in a way considered significant or noteworthy.
-
E.
hasNotableRace
Indicates that an entity is associated with a race or competition that is considered notable or significant.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d20b448190958331705de3a9be |
completed | April 9, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.