Triple
T12544478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Huckabee Sanders |
E299925
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object | Stephanie Grisham |
E519602
|
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: Stephanie Grisham | Statement: [Sarah Huckabee Sanders, succeededBy, Stephanie Grisham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephanie Grisham Context triple: [Sarah Huckabee Sanders, succeededBy, Stephanie Grisham]
-
A.
Stephanie Grisham
chosen
Stephanie Grisham is an American political aide and communications official who served as White House press secretary and communications director under President Donald Trump.
-
B.
Abigail Gowdy
Abigail Gowdy is the daughter of former U.S. Congressman and federal prosecutor Trey Gowdy.
-
C.
Kim Morgan
Kim Morgan is a Canadian film critic and screenwriter known for co-writing Guillermo del Toro’s 2021 neo-noir psychological thriller "Nightmare Alley."
-
D.
Stephany Folsom
Stephany Folsom is an American screenwriter best known for co-writing Pixar’s animated film "Toy Story 4" and contributing to various high-profile film and television projects.
-
E.
Leah Ashley
Leah Ashley is a fashion and lifestyle expert best known as a co-host and style contributor on the daytime talk show FABLife.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9547f9a1c81908f54c58a116a8446 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655801cac8190b1f9a72f8fed0399 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.