Triple
T18320486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stonestreet Stables |
E438861
|
entity |
| Predicate | hasSilksDescription |
P131367
|
FINISHED |
| Object | maroon silks with gold ‘S’ and gold sleeves |
—
|
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: maroon silks with gold ‘S’ and gold sleeves | Statement: [Stonestreet Stables, hasSilksDescription, maroon silks with gold ‘S’ and gold sleeves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSilksDescription Context triple: [Stonestreet Stables, hasSilksDescription, maroon silks with gold ‘S’ and gold sleeves]
-
A.
hasLuster
Indicates that one entity possesses a shiny, glossy, or reflective surface quality.
-
B.
hasBowHairMaterial
Indicates that an entity’s hair bow is made from a specified material.
-
C.
hasWeave
Indicates that one entity possesses, exhibits, or is characterized by a particular weave or woven pattern associated with another entity.
-
D.
hasFrill
Indicates that one entity possesses or is characterized by a frill as a distinguishing feature or component.
-
E.
spanCharacteristic
Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa5a3508190a3025e71c11d79e2 |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:36 a.m.