Triple
T5292205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hero |
E119767
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Rhonda Byrne |
E119763
|
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: Rhonda Byrne | Statement: [Hero, author, Rhonda Byrne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhonda Byrne Context triple: [Hero, author, Rhonda Byrne]
-
A.
Rhonda Byrne
chosen
Rhonda Byrne is an Australian television writer and producer best known for creating the self-help phenomenon "The Secret," which popularized the concept of the law of attraction worldwide.
-
B.
Susan Jeffers
Susan Jeffers was an American illustrator renowned for her detailed, atmospheric artwork in children's books and classic fairy tale retellings.
-
C.
Kimberly Shlain
Kimberly Shlain is the wife of American actor, comedian, and filmmaker Albert Brooks.
-
D.
Rachel Ray
"Rachel Ray" is a 19th-century novel by Anthony Trollope that explores themes of love, religious influence, and social pressure in a small English town.
-
E.
Rachel Ray
Rachael Ray is an American television personality, celebrity chef, and author best known for her quick and easy cooking style and shows like "30 Minute Meals."
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84eccac481908ba3fe28c3908d1d |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf2907e4cc8190a25f457c17c747ff |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 1:52 p.m.