Triple
T14926811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Moore |
E372153
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Jeremy John Moore |
E238512
|
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: Jeremy John Moore | Statement: [Jeremy Moore, birthName, Jeremy John Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy John Moore Context triple: [Jeremy Moore, birthName, Jeremy John Moore]
-
A.
Jeremy Moore
chosen
Jeremy Moore was a British Army lieutenant general best known for commanding UK land forces during the 1982 Falklands War.
-
B.
Nick Moore
Nick Moore is a British film editor best known for his work on popular films such as "Love Actually."
-
C.
Robert William Gary Moore
Robert William Gary Moore was a Northern Irish guitarist and singer-songwriter renowned for his work in rock and blues, both as a solo artist and as a member of bands like Thin Lizzy.
-
D.
Campbell Moore
Campbell Moore is the surname of British actor Stephen Campbell Moore, known for his work in film, television, and theatre.
-
E.
Matthew Moore
Matthew Moore is an American professional football quarterback known for his NFL career with teams such as the Carolina Panthers and Miami Dolphins.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded633da0c8190b39f606212e48e71 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c4f9c481909642efccb29f71d4 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:35 a.m.