Triple
T3930755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garry Marshall |
E90787
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Garry |
E382924
|
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: Garry | Statement: [Garry Marshall, givenName, Garry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garry Context triple: [Garry Marshall, givenName, Garry]
-
A.
Garry
chosen
Garry is a masculine given name most famously borne by former world chess champion Garry Kasparov.
-
B.
Gary
Gary is an industrial city in northwest Indiana, historically known for its steel production and location within the American Rust Belt.
-
C.
Gary
Gary is a small town in McDowell County, West Virginia, historically known as a coal mining community.
-
D.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
-
E.
Gordon
Gordon is a small village in the Scottish Borders region of southeastern Scotland, historically part of Berwickshire.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288408f0819090217513e7a21091 |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:23 p.m.