Triple
T8043286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garçon à la pipe |
E187484
|
entity |
| Predicate | translatedTitle |
P6688
|
FINISHED |
| Object | Boy with a Pipe |
E187483
|
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: Boy with a Pipe | Statement: [Garçon à la pipe, translatedTitle, Boy with a Pipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boy with a Pipe Context triple: [Garçon à la pipe, translatedTitle, Boy with a Pipe]
-
A.
Boy with a Pipe
chosen
Boy with a Pipe is an early 20th-century painting by Pablo Picasso depicting a young Parisian boy holding a pipe, notable for its vibrant Rose Period style and later record-breaking auction price.
-
B.
Garçon à la pipe
Garçon à la pipe is a 1905 Pablo Picasso painting from his Rose Period depicting a seated Parisian boy holding a pipe, notable for its warm palette and record-breaking auction price.
-
C.
This Boy
"This Boy" is a memoir by British politician Alan Johnson that recounts his impoverished childhood in post-war London.
-
D.
Blue Boy
"Blue Boy" is a reflective folk song by Joni Mitchell from her 1970 album "Ladies of the Canyon."
-
E.
The Pipe Yard
The Pipe Yard is a local sports stadium and community ballpark located in Lorain, Ohio.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f49dcfc81909ac7c93e19ad05c2 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93c407cc81908029bfdd5a0393f1 |
completed | April 1, 2026, 3:40 a.m. |
Created at: March 30, 2026, 5:23 p.m.