Triple
T8476254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Logan |
E200400
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lara Logan |
E200400
|
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 Logan | Statement: [Lara Logan, name, Lara Logan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lara Logan Context triple: [Lara Logan, name, Lara Logan]
-
A.
Lara Logan
chosen
Lara Logan is a South African television and radio journalist best known for her high-profile foreign correspondence and war reporting for CBS News.
-
B.
Andrea Mitchell
Andrea Mitchell is an American television journalist and longtime NBC News correspondent known for her coverage of U.S. politics and foreign affairs.
-
C.
Christiane Amanpour
Christiane Amanpour is a prominent British-Iranian journalist and television host best known as CNN’s chief international anchor and for her in-depth coverage of global conflicts and politics.
-
D.
Judy Woodruff
Judy Woodruff is an American broadcast journalist best known for her long tenure as a leading anchor and managing editor of PBS’s flagship news program.
-
E.
Maria Bartiromo
Maria Bartiromo is an American financial journalist and television news anchor known for her pioneering work on CNBC and later Fox Business Network.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe51e21548190811e3c7ba7b196e5 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a0f5e088190b70b2c7437884b3b |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:12 p.m.