Triple
T12622356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Tripp |
E301414
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Linda |
E28018
|
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: Linda | Statement: [Linda Tripp, givenName, Linda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Context triple: [Linda Tripp, givenName, Linda]
-
A.
Linda
Linda is a supporting character in the film "The Pursuit of Happyness," depicted as Chris Gardner’s struggling and increasingly distant partner amid the family’s financial hardships.
-
B.
Linda
Linda is an unincorporated community in Yuba County, California, known primarily as a residential area near the city of Marysville.
-
C.
Linda
chosen
Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
-
D.
Linda
Linda is a tragic, outcast figure in Aldous Huxley’s dystopian novel "Brave New World," whose experiences highlight the clash between the World State’s values and natural human emotion.
-
E.
Laurie
Laurie is a character from the horror film "Night Monster," involved in the eerie and suspenseful events surrounding the mysterious killings at the Ingston estate.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c8671881909a102d28b0e7f603 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686d770881909850ffaf820171d9 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:14 p.m.