Triple
T9394235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Child |
E226102
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Paul Child |
E226102
|
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: Paul Child | Statement: [Julia Child, spouse, Paul Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Child Context triple: [Julia Child, spouse, Paul Child]
-
A.
Paul Child
chosen
Paul Child is the supportive husband of famed chef Julia Child, depicted in the film "Julie & Julia" as a diplomat and partner who encourages her culinary ambitions.
-
B.
John Hubley
John Hubley was an influential American animator and director known for his innovative work at UPA and for co-creating distinctive, modernist animated films and characters.
-
C.
Paul Fisher
Paul Fisher is a film director and screenwriter best known for his work on animated features such as The Lego Ninjago Movie.
-
D.
Onslow Stevens
Onslow Stevens was an American character actor active from the 1930s to the 1950s, known for his supporting roles in numerous Hollywood films and early television productions.
-
E.
Paul Christman
Paul Christman was an American football quarterback who became a prominent television sportscaster in the 1950s and 1960s.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd511150008190be04142e477e8bf1 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1010ffcd4819088edafbdb43c2c00 |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:45 p.m.