Triple
T30496557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuzzy-Wuzzy |
E776021
|
entity |
| Predicate | hasPerceivedCharacteristicReference |
P78428
|
FINISHED |
| Object | elaborate hairstyles of Hadendoa warriors |
—
|
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: elaborate hairstyles of Hadendoa warriors | Statement: [Fuzzy-Wuzzy, hasPerceivedCharacteristicReference, elaborate hairstyles of Hadendoa warriors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerceivedCharacteristicReference Context triple: [Fuzzy-Wuzzy, hasPerceivedCharacteristicReference, elaborate hairstyles of Hadendoa warriors]
-
A.
perceivedAttribute
chosen
Indicates that one entity recognizes, interprets, or assigns a particular attribute or quality to another entity.
-
B.
subjectHasCharacteristic
Indicates that a subject possesses, exhibits, or is defined by a particular characteristic or attribute.
-
C.
hasPerformerCharacteristic
Indicates that a performer possesses a particular attribute, quality, or characteristic.
-
D.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
E.
hasPerceivingFunction
Indicates that an entity possesses a function or capability specifically for perceiving or sensing other entities, events, or stimuli.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 29, 2026, 8:14 p.m.