Triple
T17327840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bess |
E420732
|
entity |
| Predicate | hasParent |
P120
|
FINISHED |
| Object | Laurie |
—
|
NE NERFINISHED |
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: Laurie | Statement: [Bess, hasParent, Laurie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie Context triple: [Bess, hasParent, Laurie]
-
A.
Laurie
chosen
Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
-
B.
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.
-
C.
Laurie
Laurie is a surname of Scottish origin borne by various notable individuals, including actors, writers, and public figures.
-
D.
Lori
Lori is a feminine given name commonly used in English-speaking countries, often as a diminutive of Laura or Lorraine.
-
E.
Lori
Lori is a mountainous region in northern Armenia known for its lush forests, deep river gorges, and rich cultural and historical heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d42154819093a240f677a63145 |
completed | April 19, 2026, 2:11 a.m. |
Created at: April 10, 2026, 5:43 a.m.