Triple
T4466932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis Hamilton |
E98401
|
entity |
| Predicate | formerTeam |
P1168
|
FINISHED |
| Object | McLaren |
E200490
|
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: McLaren | Statement: [Lewis Hamilton, formerTeam, McLaren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McLaren Context triple: [Lewis Hamilton, formerTeam, McLaren]
-
A.
McLaren Automotive
chosen
McLaren Automotive is a British high-performance sports car and supercar manufacturer renowned for its Formula 1–derived engineering and cutting-edge design.
-
B.
Mercedes
Mercedes is a courageous and compassionate housekeeper who secretly aids the Spanish Maquis resistance in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
C.
Mercedes
Mercedes is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and fishing-based local economy.
-
D.
Aston Martin
Aston Martin is a British luxury sports car manufacturer renowned for its high-performance grand tourers and long association with the James Bond film franchise.
-
E.
Haas
Haas is a German-origin surname borne by numerous individuals worldwide, including several notable figures in fields such as sports, science, and the arts.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3569a38e88190a8d590931c4a7c96 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b62860151c8190b43465537b154f00 |
completed | March 15, 2026, 3:32 a.m. |
Created at: March 12, 2026, 11:34 p.m.