Triple
T8065677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Gallagher |
E188237
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Noel |
E379176
|
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: Noel | Statement: [Noel Gallagher, givenName, Noel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noel Context triple: [Noel Gallagher, givenName, Noel]
-
A.
Noel
Noel is the middle name of Charles Noel Carnegie, the 10th Earl of Southesk, a Scottish nobleman of the late 19th and early 20th centuries.
-
B.
Noel
"Noel" is a critically acclaimed episode of *The West Wing* centered on Josh Lyman’s struggle with post-traumatic stress disorder during the holiday season.
-
C.
Noel
Noel is the given name of Joseph Needham, the renowned British biochemist and historian of Chinese science and technology.
-
D.
Noel
chosen
Noel is a masculine given name of French origin, commonly associated with the Christmas season.
-
E.
Ti Noël
Ti Noël is the enslaved Haitian protagonist of Alejo Carpentier’s novel *The Kingdom of This World*, whose life story reflects the brutality, mysticism, and revolutionary upheavals of the Haitian Revolution.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff5547c8190a7ec5958a23e302f |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e1ed44819083ed9db6c9d7b0fd |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.