Triple
T8690300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miranda Kerr |
E206269
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Miranda May Kerr |
E206269
|
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: Miranda May Kerr | Statement: [Miranda Kerr, birthName, Miranda May Kerr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miranda May Kerr Context triple: [Miranda Kerr, birthName, Miranda May Kerr]
-
A.
Miranda Kerr
chosen
Miranda Kerr is an Australian supermodel and entrepreneur best known for her work with major fashion brands and for founding the organic skincare line KORA Organics.
-
B.
Laura Kerr
Laura Kerr was a screenwriter known for her work on the film "The Farmer’s Daughter."
-
C.
Teresa Palmer
Teresa Palmer is an Australian actress known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
-
D.
Kimberley Locke
Kimberley Locke is an American singer, songwriter, and television personality who gained national recognition as a standout contestant on the second season of American Idol.
-
E.
Camila Whittemore
Camila Whittemore is a central character in the sitcom "Dads," portrayed as one of the key figures around whom the show's family and workplace comedy revolves.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5734602c81909a0687e00f4a4a26 |
completed | March 31, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf288acb348190829e149a9089a0a1 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:33 p.m.