Triple
T10452714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Norman Conquests |
E246469
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Reg |
E368259
|
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: Reg | Statement: [The Norman Conquests, hasCharacter, Reg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reg Context triple: [The Norman Conquests, hasCharacter, Reg]
-
A.
Reg
chosen
Reg is a common shortened given name, typically derived from Reginald.
-
B.
Ren
Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
-
C.
Ren
Ren is a Chinese surname most prominently associated with Ren Zhengfei, the founder of Huawei.
-
D.
Re
Re is the ancient Egyptian sun god, a major deity associated with creation, kingship, and the daily journey of the sun across the sky.
-
E.
RG
RG is a postcode area in southern England covering Reading and surrounding towns in Berkshire and parts of neighbouring counties.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0b7bb481908182c7b9a80af3b3 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f07c9f48190b0fce7740a2e003a |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:17 p.m.