Triple
T5924574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigel Shadbolt |
E131774
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nigel |
E107138
|
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: Nigel | Statement: [Nigel Shadbolt, givenName, Nigel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigel Context triple: [Nigel Shadbolt, givenName, Nigel]
-
A.
Nigel
chosen
Nigel is a masculine given name of English origin, historically derived from the Latin name Nigellus and commonly used in the UK and other English-speaking countries.
-
B.
Nigel
Nigel is the villainous, vengeful cockatoo who serves as the primary antagonist in the animated film Rio 2.
-
C.
Nigel Newton
Nigel Newton is a British-American publisher best known as the founder and longtime chief executive of Bloomsbury Publishing, the company that published the Harry Potter series.
-
D.
Colin
Colin is a masculine given name of Irish and Scottish origin, commonly used in English-speaking countries.
-
E.
Niel
Niel is a French surname most prominently associated with Xavier Niel, a billionaire entrepreneur and telecoms magnate.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03852806c81908ba726c16adf3358 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0483e3481908e50f8b34b11a878 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.