Triple
T12628912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Court era |
E301587
|
entity |
| Predicate | notableCase |
P4
|
FINISHED |
| Object | Re Gault |
E794795
|
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: Re Gault | Statement: [Warren Court era, notableCase, Re Gault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Re Gault Context triple: [Warren Court era, notableCase, Re Gault]
-
A.
Gault
chosen
Gault is a surname of Scottish origin borne by various notable individuals, including military figures, politicians, and entrepreneurs.
-
B.
Mr Galliano
Mr Galliano is a colorful circus owner and ringmaster character from Enid Blyton’s adventure stories, known for his flamboyant personality and central role in the circus setting.
-
C.
Guillory
Guillory is a French-derived surname commonly found among individuals of Louisiana Creole and Cajun heritage in the United States.
-
D.
Gamache
Gamache is a comic nobleman character in the Petipa/Gorsky ballet adaptation of Don Quixote, often portrayed as the pompous suitor of Kitri.
-
E.
Guilly
Guilly is a small commune in the Loiret department of north-central France.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610ce9e48190a496824002c0d2be |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65edafc7c819088bd641542a32e39 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:15 p.m.