Triple
T15064832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LNS |
E379728
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Lindsey Nelson |
—
|
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: Lindsey Nelson | Statement: [LNS, namedAfter, Lindsey Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindsey Nelson Context triple: [LNS, namedAfter, Lindsey Nelson]
-
A.
Lindsey Nelson
chosen
Lindsey Nelson was a prominent American sportscaster best known for his play-by-play broadcasting of college football and New York Mets baseball games.
-
B.
Lindsey Brigman
Lindsey Brigman is a brilliant, strong-willed engineer and co-designer of an experimental underwater drilling platform in the science fiction film "The Abyss."
-
C.
Lindsey Morgan
Lindsey Morgan is an American actress best known for her role as Raven Reyes on the science fiction television series "The 100."
-
D.
Lindsey Coulson
Lindsey Coulson is an English actress best known for her long-running role as Carol Jackson in the BBC soap opera "EastEnders."
-
E.
Lindsay Merrill
Lindsay Merrill is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Merrill.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
Created at: April 10, 2026, 3:02 a.m.