Triple
T20392745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andorians |
E498122
|
entity |
| Predicate | averagePhysique |
P3595
|
FINISHED |
| Object | slender to athletic build |
—
|
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: slender to athletic build | Statement: [Andorians, averagePhysique, slender to athletic build]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averagePhysique Context triple: [Andorians, averagePhysique, slender to athletic build]
-
A.
typicalBodyType
chosen
Indicates that one entity is the usual or characteristic body type associated with another entity.
-
B.
averageBodyLengthM
Indicates the average length of an organism’s body, measured in meters.
-
C.
averageWeight
Indicates the typical or mean weight value associated with an entity or group of entities.
-
D.
averageHeight
Indicates that the relationship specifies the mean height value calculated from a set of entities or measurements.
-
E.
averageStatureCharacteristic
Indicates that an entity has a stature (height or overall size) that is typical or average relative to a relevant comparison group.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6791144788190a0ab42cf0141b6a3 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:28 a.m.