Triple
T1305269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lennon |
E27860
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Winston |
E778
|
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: Winston | Statement: [John Lennon, middleName, Winston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winston Context triple: [John Lennon, middleName, Winston]
-
A.
Winston
Winston is a long-established American cigarette brand known for its filtered cigarettes and prominent mid-20th-century advertising campaigns.
-
B.
Winston
chosen
Winston is the given name of Winston Churchill, the British statesman who led the United Kingdom during World War II and later served again as Prime Minister.
-
C.
Winston
Winston is a supporting character in the dark comedy film "Sunshine Cleaning," involved in the story of two sisters who start a crime-scene cleanup business.
-
D.
Winston Roy Followill
Winston Roy Followill is the son of American model Lily Aldridge and Kings of Leon frontman Caleb Followill.
-
E.
Young Winston
Young Winston is a 1972 British biographical film depicting the early life and career of Winston Churchill.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13524d481909e8f5bb2ab91f6e4 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb306e3cc8190997cda8aaedbcebb |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:51 p.m.