Triple
T14189289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Powell |
E351665
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object | Julia Child |
E16818
|
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: Julia Child | Statement: [Julie Powell, inspiredBy, Julia Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Child Context triple: [Julie Powell, inspiredBy, Julia Child]
-
A.
Julia Child
chosen
Julia Child was a pioneering American chef, author, and television personality who popularized French cuisine in the United States through her influential cookbooks and cooking shows.
-
B.
Alice Webb
Alice Webb is a British media executive and producer known for her leadership roles in major broadcasting organizations and involvement in high-profile documentary projects.
-
C.
Barbara Crocker
Barbara Crocker was a British artist, illustrator, and writer known for her landscape paintings and travel books.
-
D.
Irma Rombauer
Irma Rombauer was an American cookbook author best known for writing the influential and enduring classic "The Joy of Cooking."
-
E.
Ina Garten
Ina Garten is an American cookbook author and television host best known for her approachable, elegant home cooking showcased on the Food Network.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61de509881908967ef5031f2a8d9 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194543f081909cb11cf0881afa90 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:03 a.m.