Triple
T5843198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langhorne |
E129642
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Crystal Langhorne |
E17764
|
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: Crystal Langhorne | Statement: [Langhorne, usedBy, Crystal Langhorne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crystal Langhorne Context triple: [Langhorne, usedBy, Crystal Langhorne]
-
A.
Crystal Langhorne
chosen
Crystal Langhorne is an American former professional basketball player and WNBA All-Star known for her efficient post play and key contributions to multiple championship-contending teams.
-
B.
Helen Merrill
Helen Merrill is an American jazz vocalist renowned for her cool, introspective style and influential recordings with leading jazz musicians of the 1950s.
-
C.
Margaret Whiting
Margaret Whiting was an American traditional pop and country music singer prominent in the 1940s and 1950s, known for her smooth vocal style and numerous hit recordings.
-
D.
Phyllis Calvert
Phyllis Calvert was a prominent British film and stage actress, best known as one of the leading stars of 1940s British cinema.
-
E.
Mabel Mercer
Mabel Mercer was a renowned British-born cabaret singer celebrated for her subtle, conversational style and influential interpretations of the Great American Songbook.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034d9da0c8190970319d0dc2fc73f |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0fb0f68819091018926ee4c7bb8 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:54 p.m.