Triple
T5334275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydia Maria Child |
E123787
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Child |
E92861
|
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: Child | Statement: [Lydia Maria Child, familyName, Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Child Context triple: [Lydia Maria Child, familyName, Child]
-
A.
Child
chosen
Child is a common English surname borne by various notable individuals, including the famed American chef and television personality Julia Child.
-
B.
Kids
Kids is a family-friendly programming section of the Sundance Film Festival that showcases films suitable for children and young audiences.
-
C.
Kids
"Kids" is a pop duet by Robbie Williams and Kylie Minogue, released in 2000 and known for its playful lyrics and energetic production.
-
D.
Childhood
"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.
-
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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ae52c08190968a5567b7e6b794 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18baeca081909acc11d0c6c89f6d |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.