Triple
T16919230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitney Phelps |
E410399
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Whitney Phelps |
E410399
|
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: Whitney Phelps | Statement: [Whitney Phelps, name, Whitney Phelps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitney Phelps Context triple: [Whitney Phelps, name, Whitney Phelps]
-
A.
Whitney Phelps
chosen
Whitney Phelps is the older sister of American Olympic swimming legend Michael Phelps and a former competitive swimmer herself.
-
B.
Whitney Phillips
Whitney Phillips is a writer and scholar known for her work on internet culture, digital ethics, and online harassment.
-
C.
Samantha Burke
Samantha Burke is a Florida-based American model who gained public attention as the mother of Jude Law’s daughter Sophia.
-
D.
Whitney Cameron
Whitney Cameron is the central protagonist of the 1953 film noir thriller "A Blueprint for Murder," around whom the story’s suspenseful murder investigation revolves.
-
E.
Christine Brown
Christine Brown is a reality television personality best known as one of the central polygamist wives featured on the TLC series "Sister Wives."
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdec3d0c8190994a0fca335c65d6 |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7c2c9cc8190b6d59d0a8edd078d |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.