Triple
T30157004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Too Close |
E766548
|
entity |
| Predicate | usedInCommercial |
P101201
|
FINISHED |
| Object | Internet Explorer 9 |
—
|
NE NERFINISHED |
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: Internet Explorer 9 | Statement: [Too Close, usedInCommercial, Internet Explorer 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInCommercial Context triple: [Too Close, usedInCommercial, Internet Explorer 9]
-
A.
usedInMarketingMaterials
chosen
Indicates that something is included or featured as part of marketing or promotional materials.
-
B.
permitsCommercialUse
Indicates that an entity grants permission for its use in commercial or profit-generating contexts.
-
C.
hasCommercialAppeal
Indicates that something possesses qualities likely to attract buyers or generate profitable market interest.
-
D.
usedInECommerce
Indicates that something is employed or applied within the context of electronic commerce activities or systems.
-
E.
isNonCommercial
Indicates that the associated entity, use, or activity is not intended for or involved in commercial, profit-generating purposes.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: April 29, 2026, 7:21 p.m.