Triple
T3172128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexei Maximovich Peshkov |
E66377
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Childhood |
E232275
|
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: Childhood | Statement: [Alexei Maximovich Peshkov, notableWork, Childhood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Childhood Context triple: [Alexei Maximovich Peshkov, notableWork, Childhood]
-
A.
Childhood
chosen
"Childhood" is the first part of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early years and formative experiences in Tsarist Russia.
-
B.
Child
Child is a common English surname borne by various notable individuals, including the famed American chef and television personality Julia Child.
-
C.
Kids
Kids is a family-friendly programming section of the Sundance Film Festival that showcases films suitable for children and young audiences.
-
D.
Juvenile
Juvenile is an American rapper from New Orleans best known as a member of the Hot Boys and for his influential late-1990s Southern hip hop hits like "Back That Azz Up."
-
E.
Baby
"Baby" is a popular Afrobeats/hip-hop love song by Ghanaian rapper Sarkodie that helped boost his mainstream recognition.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66da23c81908f063b44b48b1e53 |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235e9f04c8190933e893e59e9f342 |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.