Triple
T16204695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lythronax |
E393293
|
entity |
| Predicate | skullShape |
P117695
|
FINISHED |
| Object | broad snout |
—
|
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: broad snout | Statement: [Lythronax, skullShape, broad snout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skullShape Context triple: [Lythronax, skullShape, broad snout]
-
A.
skullMorphology
chosen
Indicates a relationship where entities are characterized or compared based on the form, structure, or anatomical features of their skulls.
-
B.
headShape
Indicates the characteristic form or contour of an entity’s head.
-
C.
skullOrnamentation
Indicates that an entity has decorative or structural features specifically adorning or modifying the skull.
-
D.
hasSkullType
Indicates that an entity possesses or is characterized by a specific type or classification of skull.
-
E.
skullUsage
Indicates how a skull is used, applied, or functionally involved in a particular context or activity.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270d6e5c8190aee4bcca76cbe47c |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.