Triple
T15676593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Spencer |
E377458
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lara Spencer |
E377458
|
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: Lara Spencer | Statement: [Lara Spencer, name, Lara Spencer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lara Spencer Context triple: [Lara Spencer, name, Lara Spencer]
-
A.
Lara Spencer
chosen
Lara Spencer is an American television presenter and journalist best known as a co-anchor of ABC's "Good Morning America" and for hosting and producing various lifestyle and entertainment programs.
-
B.
Karen Fairchild
Karen Fairchild is an American country singer best known as a founding member and lead vocalist of the Grammy-winning group Little Big Town.
-
C.
Jennifer Poots
Jennifer Poots is known as the wife of Northern Irish politician Edwin Poots.
-
D.
Audrina Patridge
Audrina Patridge is an American television personality and actress best known for starring on the MTV reality series "The Hills."
-
E.
Shanna Moakler
Shanna Moakler is an American model, actress, and reality television personality, and a former Miss USA titleholder.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee0446881909e9c2504d51d49a3 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.