Triple
T4809348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morris Hillquit |
E107027
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Morris |
E260758
|
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: Morris | Statement: [Morris Hillquit, givenName, Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morris Context triple: [Morris Hillquit, givenName, Morris]
-
A.
Morris
Morris is the given first name of Moe Berg, the American Major League Baseball catcher who later became a World War II intelligence officer.
-
B.
Morris
chosen
Morris is a common English-language surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
C.
Swinton
Swinton is a small rural village in the historic county of Berwickshire in the Scottish Borders region of Scotland.
-
D.
Swinton
Swinton is a town in the City of Salford, Greater Manchester, England, known historically for its role in the coal mining and textile industries.
-
E.
Jiger
Jiger is a giant kaiju monster from the Gamera film series, known for battling the titular turtle-like guardian in the 1970 movie "Gamera vs. Jiger."
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c6c70a88190aa287fc78716c225 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4da6a9b4819083706381a57e2c73 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:23 p.m.