Triple
T16700022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Michael Luttig |
E405819
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Luttig |
E405819
|
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: Luttig | Statement: [J. Michael Luttig, familyName, Luttig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luttig Context triple: [J. Michael Luttig, familyName, Luttig]
-
A.
Luttig
chosen
Luttig is the surname of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge known for his influence on constitutional law and the judiciary.
-
B.
Lutjegast
Lutjegast is a small village in the province of Groningen in the Netherlands, best known as the birthplace of the 17th-century Dutch explorer Abel Tasman.
-
C.
Lugnut
Lugnut is the costumed mascot character for the Lansing Lugnuts minor league baseball team, entertaining fans at games and team events.
-
D.
Luder
Luder is a variant form of the name Luther, most commonly associated with the German surname and given name.
-
E.
Lauwe
Lauwe is a village and municipal section in the Belgian city of Menen, located in the province of West Flanders.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383300d108190911e3cba8e07f2dd |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919ee61c81909928dd26270e9614 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.