Triple
T12685525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cutler Beckett |
E303056
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cutler |
E188368
|
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: Cutler | Statement: [Cutler Beckett, givenName, Cutler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cutler Context triple: [Cutler Beckett, givenName, Cutler]
-
A.
Cutler
chosen
Cutler is the surname of Jay Cutler, a former NFL quarterback best known for his tenure with the Chicago Bears.
-
B.
Tolan
Tolan is a surname most notably associated with American television producer, writer, and director Peter Tolan.
-
C.
Sandeen
Sandeen is a surname most notably associated with Cathy A. Sandeen, an American academic administrator and university leader.
-
D.
Qualley
Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
-
E.
Chenault
Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a8f068819086e2191439607f76 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.