Triple
T3961449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traps |
E85912
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | MacKenzie Bezos |
E14839
|
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: MacKenzie Bezos | Statement: [Traps, author, MacKenzie Bezos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacKenzie Bezos Context triple: [Traps, author, MacKenzie Bezos]
-
A.
MacKenzie Scott
chosen
MacKenzie Scott is an American novelist and philanthropist known for her rapid, large-scale charitable giving focused on equity and social justice.
-
B.
Jeff Bezos
Jeff Bezos is an American entrepreneur and investor best known as the billionaire tech magnate who built Amazon into one of the world’s largest e-commerce and cloud computing companies.
-
C.
Andy Jassy
Andy Jassy is an American business executive best known as the president and CEO of Amazon and the founding leader of Amazon Web Services (AWS).
-
D.
Maye Musk
Maye Musk is a Canadian-South African model and dietitian who has had a decades-long international modeling career and is the mother of entrepreneur Elon Musk.
-
E.
Heide-Mari Musk
Heide-Mari Musk is a South African woman known primarily as a former spouse and relative of engineer and entrepreneur Errol Musk, making her part of Elon Musk’s extended family.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9617adc8190874b97a612fa7c72 |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400311bc81908379313e2d444557 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:31 p.m.