Triple
T9776926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porphyrio |
E237269
|
entity |
| Predicate | legDescription |
P23297
|
FINISHED |
| Object | long legs |
—
|
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: long legs | Statement: [Porphyrio, legDescription, long legs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legDescription Context triple: [Porphyrio, legDescription, long legs]
-
A.
legCharacteristic
chosen
Indicates a characteristic, property, or attribute that specifically pertains to the legs of an entity.
-
B.
legs
Indicates that an entity possesses legs, specifying the presence or number of leg-like appendages associated with it.
-
C.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
D.
sizeDescription
Indicates a relationship where one entity provides descriptive information about the size or scale of another entity.
-
E.
legOrientation
Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda133ef548190aaecdf49de9c5aa8 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.