Triple
T8090732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry King |
E188851
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Julie Alexander |
E188851
|
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: Julie Alexander | Statement: [Larry King, spouse, Julie Alexander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Alexander Context triple: [Larry King, spouse, Julie Alexander]
-
A.
Julie Alexander
chosen
Julie Alexander is an American businesswoman and former wife of legendary television and radio host Larry King.
-
B.
Julie Leonard
Julie Leonard was the wife of American film director Norman Taurog, known for her connection to his long career in Hollywood.
-
C.
Julie Landfield
Julie Landfield is an American actress best known for her former marriage to actor Beau Bridges and as the mother of actor Jordan Bridges.
-
D.
Julie Lynn
Julie Lynn is an American film producer known for her work on independent and critically acclaimed movies.
-
E.
Julie Powell
Julie Powell was an American writer and blogger best known for her memoir "Julie & Julia," which chronicled her year-long project of cooking every recipe in Julia Child’s "Mastering the Art of French Cooking."
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421fb8348190b6495394d498d3f4 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d181f4123c8190a15ee03b3156c6fd |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 5:29 p.m.