Triple
T15361416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ResNeXt |
E367297
|
entity |
| Predicate | paperAuthors |
P2002
|
FINISHED |
| Object | Piotr Dollár |
E1160394
|
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: Piotr Dollár | Statement: [ResNeXt, paperAuthors, Piotr Dollár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piotr Dollár Context triple: [ResNeXt, paperAuthors, Piotr Dollár]
-
A.
Piotr Dollár
chosen
Piotr Dollár is a computer vision researcher known for influential work on object detection, recognition, and deep learning methods at Microsoft and Meta (Facebook) AI Research.
-
B.
Piotr Wysocki
Piotr Wysocki was a Polish army officer and independence activist best known for initiating the November Uprising of 1830 against Russian rule.
-
C.
Bogdan Pietruszka
Bogdan Pietruszka is a Polish architect best known for co-designing the Monument to the Fallen Shipyard Workers of 1970 in Gdańsk, commemorating victims of the communist regime.
-
D.
Piotr Stepnowski
Piotr Stepnowski is a Polish academic and administrator who serves as the rector of the University of Gdańsk.
-
E.
Marek Zaleski
Marek Zaleski is a Polish literary critic and essayist known for his work on modern Polish literature and literary theory.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d3eb6388190ba269350dbe7dfbc |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:18 a.m.