Triple
T3405207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Buck |
E71753
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Julie Buck |
E214891
|
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: Julie Buck | Statement: [Jack Buck, child, Julie Buck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Buck Context triple: [Jack Buck, child, Julie Buck]
-
A.
Julie Buck
chosen
Julie Buck is a member of the Buck family, known primarily as a relative of American sportscaster Joe Buck.
-
B.
Julie Powell
Julie Powell was an American writer and blogger best known for her memoir "Julie & Julia," which chronicled her year-long project of cooking every recipe in Julia Child’s "Mastering the Art of French Cooking."
-
C.
Julie Packard
Julie Packard is a marine biologist and conservationist best known as the founding executive director of the Monterey Bay Aquarium and a prominent advocate for ocean conservation.
-
D.
Jill Bilcock
Jill Bilcock is an acclaimed Australian film editor known for her work on major films such as "Moulin Rouge!", "Romeo + Juliet," and "Elizabeth."
-
E.
Julie Alexander
Julie Alexander is an American businesswoman and former wife of legendary television and radio host Larry King.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8eaa41c819095a4d51aec074649 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4881cd6f081908981db17758146f7 |
completed | March 13, 2026, 9:56 p.m. |
Created at: March 8, 2026, 3:15 p.m.