Triple
T13273985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X: The Man with the X-Ray Eyes |
E316138
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Les Baxter |
E136722
|
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: Les Baxter | Statement: [X: The Man with the X-Ray Eyes, musicBy, Les Baxter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Baxter Context triple: [X: The Man with the X-Ray Eyes, musicBy, Les Baxter]
-
A.
Les Baxter
chosen
Les Baxter was an American composer and arranger best known for pioneering the exotica genre and creating lush, atmospheric orchestral pop recordings in the mid-20th century.
-
B.
Glen Baxter
Glen Baxter is an American mathematician known for his contributions to probability theory and functional analysis.
-
C.
Douglas Baxter
Douglas Baxter is known as the husband of Irish actress Victoria Smurfit.
-
D.
Lonny Baxter
Lonny Baxter is a former American professional basketball player best known for starring on the University of Maryland team that won the 2002 NCAA championship.
-
E.
Lloyd Barker
Lloyd Barker was an American gangster best known as a member of the notorious Barker–Karpis crime gang during the early 20th century.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9904193bc8190af4155750bcf32f6 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74610b2c481909497296e999226e8 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 9:26 p.m.