Triple
T15786332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkana Boy |
E382746
|
entity |
| Predicate | thoraxShape |
P103295
|
FINISHED |
| Object | barrel-shaped chest |
—
|
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: barrel-shaped chest | Statement: [Turkana Boy, thoraxShape, barrel-shaped chest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thoraxShape Context triple: [Turkana Boy, thoraxShape, barrel-shaped chest]
-
A.
torse
Indicates a heraldic depiction where a twisted roll of fabric (the torse) encircles the top of a helmet, typically serving as the base for a crest.
-
B.
bodyThickness
chosen
Indicates the measured or relative thickness of an entity’s body in the context of a comparison or description.
-
C.
bodyVariant
Indicates that one entity is an alternative physical form or version of another entity’s body.
-
D.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
-
E.
shoulderHeightRange
Indicates the range of vertical height measured from the ground to an entity’s shoulders.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0540380448190a025338f0e62e6d1 |
completed | April 16, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.