Triple
T17088282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mort Shuman |
E414657
|
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: [Mort Shuman, givenName, Mortimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortimer Context triple: [Mort Shuman, 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.
Clifford Mortimer
Clifford Mortimer was a British limnologist and freshwater scientist known for his influential research on the physics and dynamics of lakes.
-
E.
Jeremy Mortimer
Jeremy Mortimer is a British radio drama producer and director, known for his work with BBC Radio.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee81fd08190a7e1f5958fbe3b97 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.