Triple
T1631020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art of Noise |
E35255
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Gary Langan |
E197371
|
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: Gary Langan | Statement: [Art of Noise, memberOf, Gary Langan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Langan Context triple: [Art of Noise, memberOf, Gary Langan]
-
A.
Gary Langan
chosen
Gary Langan is a British recording engineer and record producer known for his work with The Buggles, Art of Noise, and numerous influential pop and rock artists.
-
B.
Larry Daley
Larry Daley is the bumbling yet good-hearted night guard protagonist of the "Night at the Museum" film series, known for dealing with museum exhibits that magically come to life.
-
C.
Brad Daugherty
Brad Daugherty is a former NBA center best known for his All-Star career with the Cleveland Cavaliers in the late 1980s and early 1990s.
-
D.
Jon Bosak
Jon Bosak is a computer scientist best known for leading the original XML specification effort at the World Wide Web Consortium (W3C), which helped standardize data interchange on the web.
-
E.
Gene Keady
Gene Keady is a highly respected American college basketball coach best known for his long, successful tenure leading the Purdue Boilermakers.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909f5ae98819091ce5e00eb4256a2 |
completed | March 5, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf42b39c819092f89cde635b20ec |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:28 p.m.