Triple
T6525470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3M |
E151290
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Post-it |
E602880
|
NE 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: Post-it | Statement: [3M, brand, Post-it]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Post-it Context triple: [3M, brand, Post-it]
-
A.
Post-it Notes
chosen
Post-it Notes are small, reusable pieces of paper with a low-tack adhesive strip on the back, widely used for notes, reminders, and organization.
-
B.
Scotch tape
Scotch tape is a popular brand of transparent adhesive tape commonly used for household, office, and craft applications.
-
C.
Stickies
Stickies is the nickname for the Official Irish Republican movement, a left-wing Irish republican organization that emerged from a split in the IRA in the late 1960s.
-
D.
Viewliner
Viewliner is a class of single-level passenger railcars used primarily by Amtrak for long-distance overnight service in the United States.
-
E.
Liquid Paper
Liquid Paper is a popular correction fluid product used to cover and correct handwritten or typed errors on paper.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada77b448190b6e0e07494fb4dd3 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e416e884819099c788cc3a814414 |
completed | March 27, 2026, 8:09 p.m. |
Created at: March 27, 2026, 1:45 p.m.