Triple
T5742913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Green |
E126657
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kings |
E19168
|
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: Kings | Statement: [Michael Green, notableWork, Kings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kings Context triple: [Michael Green, notableWork, Kings]
-
A.
Kings
Kings is the common shorthand nickname for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
-
B.
Kings
chosen
Kings is a biblical book in the Hebrew Bible that narrates the history of the Israelite monarchies from Solomon through the fall of Jerusalem.
-
C.
The Royals
The Royals is the nickname of the Royal Canadian Regiment, one of Canada's oldest and most distinguished regular infantry regiments.
-
D.
The Royals
The Royals is the nickname of Reading Football Club, a professional English football team based in Reading, Berkshire.
-
E.
The Royals
The Royals is a nickname for the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025852a2c819080521e5b98c00bdc |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e2196e08190a38e1c6871e71acd |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.