Triple
T36842559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie (fragrance) |
E910445
|
entity |
| Predicate | hasMultipleFlankers |
P62241
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Charlie (fragrance), hasMultipleFlankers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleFlankers Context triple: [Charlie (fragrance), hasMultipleFlankers, true]
-
A.
hasFlanker
Indicates that an entity is positioned or assigned as a flanking support or protection alongside another entity.
-
B.
hasFlankFeatures
Indicates that an entity possesses specific characteristics or attributes located on its sides or flanks.
-
C.
hasMultiple
chosen
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
D.
numberOfColumnsOnFlanks
Indicates the count of columns located on the flanking sides of a structure or object.
-
E.
isFlankerOf
Indicates that one entity occupies or performs the role of a flanker in relation to another entity, typically providing support or coverage from the side.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: May 3, 2026, 4:13 p.m.