Triple
T13804861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoda Kotb |
E331733
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hoda |
E197921
|
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: Hoda | Statement: [Hoda Kotb, givenName, Hoda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoda Context triple: [Hoda Kotb, givenName, Hoda]
-
A.
Hoda Baraka
chosen
Hoda Baraka is an Egyptian communications and digital advocacy professional known for her work with international human rights and environmental organizations.
-
B.
Dionne Harris
Dionne Harris is known as the spouse of Australian actor and musician Noah Taylor.
-
C.
Eulaulah Hathaway
Eulaulah Hathaway is best known as the widow of acclaimed American soul singer and songwriter Donny Hathaway.
-
D.
Dina Shihabi
Dina Shihabi is a Saudi Arabian–born actress known for her prominent roles in American film and television, including the series "Jack Ryan."
-
E.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08db39c8190a76637b36b77d643 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:12 p.m.