Triple
T36943715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorna Fencer Napurrurla |
E913846
|
entity |
| Predicate | hasSkinName |
P186760
|
FINISHED |
| Object | Napurrurla |
—
|
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: Napurrurla | Statement: [Lorna Fencer Napurrurla, hasSkinName, Napurrurla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkinName Context triple: [Lorna Fencer Napurrurla, hasSkinName, Napurrurla]
-
A.
hasSkin
Indicates that one entity possesses skin as a covering or outer tissue layer.
-
B.
hasFacialSkinColor
Indicates that one entity has a specific facial skin color characterized or attributed by another entity.
-
C.
fruitSkinColor
Indicates the color of the outer skin or peel of a fruit.
-
D.
hasNameCharacteristic
Indicates that an entity possesses a specific quality or attribute related to its name.
-
E.
skinningMethod
Indicates the technique or process used to remove or separate the outer layer (such as skin or covering) from an object or material.
- F. None of above. chosen
Provenance (4 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fa0a799b9081909bfa8293a22c4b00 |
completed | May 5, 2026, 3:19 p.m. |
Created at: May 3, 2026, 4:13 p.m.