Triple
T7940315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Emmett Brown |
E184371
|
entity |
| Predicate | signatureClothingItem |
P61250
|
FINISHED |
| Object | white lab coat |
—
|
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: white lab coat | Statement: [Dr. Emmett Brown, signatureClothingItem, white lab coat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signatureClothingItem Context triple: [Dr. Emmett Brown, signatureClothingItem, white lab coat]
-
A.
shirtSymbol
Indicates that one entity bears, displays, or is marked with a particular symbol on a shirt.
-
B.
signatureItem
chosen
Indicates that an entity is a component or element that forms part of another entity’s signature (such as a defining list, pattern, or parameter set).
-
C.
coatCharacteristic
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
D.
fashionLabel
Indicates that an entity is a fashion brand or label associated with the design, production, or marketing of clothing or accessories.
-
E.
signatureStyle
Indicates the characteristic way in which an entity typically signs its name or marks documents, distinguishing its unique signing pattern or format.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0ac8bc8190b4e4f79b15c316b3 |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:08 p.m.