Triple
T35735132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Burberry |
E1032865
|
entity |
| Predicate | productTypeIntroduced |
P91802
|
FINISHED |
| Object | gabardine raincoats |
—
|
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: gabardine raincoats | Statement: [Thomas Burberry, productTypeIntroduced, gabardine raincoats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productTypeIntroduced Context triple: [Thomas Burberry, productTypeIntroduced, gabardine raincoats]
-
A.
productTypeFounded
Indicates that a product type was established or came into existence as a result of a founding event or action.
-
B.
firstProductAnnounced
Indicates that an entity is the earliest (chronologically first) product publicly announced by another entity.
-
C.
introducedAsProduct
Indicates that one entity is presented or launched in the role of a product in relation to another entity.
-
D.
areIntroducedBy
chosen
Indicates that one entity becomes known or presented to another entity through the action or mediation of a third party or process.
-
E.
introducedByProductLine
Indicates that one product line is responsible for introducing, launching, or bringing another product, feature, or offering into the market or portfolio.
- 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
Created at: May 3, 2026, 4:05 p.m.