Triple
T14434732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makena Lautner |
E357929
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lautner |
E355308
|
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: Lautner | Statement: [Makena Lautner, familyName, Lautner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lautner Context triple: [Makena Lautner, familyName, Lautner]
-
A.
Lautner
chosen
Lautner is a surname most prominently associated with American actor Taylor Lautner, known for his role as Jacob Black in the "Twilight" film series.
-
B.
Laudner
Laudner is a surname most notably associated with former American Major League Baseball catcher Tim Laudner.
-
C.
Krier
Krier is a surname most notably associated with Leon Krier, a Luxembourgish architect and urban planner known for his advocacy of traditional urbanism and criticism of modernist architecture.
-
D.
Bohlin
Bohlin is a Swedish surname associated with various notable individuals in fields such as architecture, sports, and academia.
-
E.
Cundey
Cundey is a surname most notably associated with American cinematographer Dean Cundey, known for his work on influential genre and blockbuster films.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91471a648190adb7b283a6a85c3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd5b1d08190a89e6f004a94b361 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.