Triple
T4628954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mortimer L. Schiff |
E101166
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mortimer |
E425816
|
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: Mortimer | Statement: [Mortimer L. Schiff, givenName, Mortimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortimer Context triple: [Mortimer L. Schiff, givenName, Mortimer]
-
A.
Mortimer
Mortimer is a village and civil parish in West Berkshire, England, known for its rural character and commuter links to nearby Reading.
-
B.
Mortimer
chosen
Mortimer is a masculine given name of Old French origin, historically associated with English nobility and later borne by various notable figures in philosophy, literature, and the arts.
-
C.
Fitzwalter
Fitzwalter is an English noble family name historically associated with medieval barons and landholders.
-
D.
Nevill
Nevill is a given name most notably borne by British physicist and Nobel laureate Sir Nevill Mott.
-
E.
Crispin Bonham-Carter
Crispin Bonham-Carter is a British actor and theatre director best known for playing Mr. Bingley in the 1995 BBC adaptation of "Pride and Prejudice."
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a300e6081909fa9f504aada33ea |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfab4f4808190920e420f566dec9b |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:13 p.m.