Triple
T14193061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sturge |
E351761
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Sturges |
E922309
|
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: Sturges | Statement: [Sturge, hasVariant, Sturges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sturges Context triple: [Sturge, hasVariant, Sturges]
-
A.
Sturges
chosen
Sturges is a surname most notably associated with American film director John Sturges, known for classic Westerns and action films.
-
B.
Sturge
Sturge is an English surname most notably associated with Joseph Sturge, a prominent 19th-century Quaker abolitionist and social reformer.
-
C.
Stoddart
Stoddart is a Scottish surname most notably associated with Sir Fraser Stoddart, the Nobel Prize–winning chemist recognized for his work on molecular machines.
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Stuckart
Stuckart is a German surname most notably associated with Wilhelm Stuckart, a high-ranking Nazi official and legal theorist involved in formulating racial laws during the Third Reich.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e0a52081908213aa6e548d4418 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194951d481909a8e81f2d09feefa |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.