Triple
T16097567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Insider |
E390525
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object | Christina McLarty |
—
|
NE NERFINISHED |
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: Christina McLarty | Statement: [The Insider, presenter, Christina McLarty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christina McLarty Context triple: [The Insider, presenter, Christina McLarty]
-
A.
Christina McLarty
chosen
Christina McLarty is an American entertainment reporter and television personality who has worked for outlets like Entertainment Tonight and Inside Edition.
-
B.
Christina McGrath
Christina McGrath is known as the wife of the late American screenwriter, director, and actor Douglas McGrath.
-
C.
Christina Pierson
Christina Pierson is an individual notable enough to be recognized as a prominent bearer of the surname Pierson.
-
D.
Christina Hodson
Christina Hodson is a British screenwriter known for writing major Hollywood genre films such as Bumblebee, Birds of Prey, and The Flash.
-
E.
Rachel McCleary
Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:59 a.m.