Triple
T16468338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndon Sims |
E399992
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lyndon |
E75983
|
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: Lyndon | Statement: [Lyndon Sims, givenName, Lyndon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyndon Context triple: [Lyndon Sims, givenName, Lyndon]
-
A.
Lyndon
Lyndon is a short story by David Foster Wallace, included in his collection "Girl with Curious Hair," that offers a fictionalized, introspective portrayal of former U.S. President Lyndon B. Johnson.
-
B.
Lyndon
chosen
Lyndon is a masculine given name most famously borne by Lyndon B. Johnson, the 36th president of the United States.
-
C.
Lyndon Evelyn
Lyndon Evelyn was a British politician who served as a Conservative Member of Parliament in the 19th century.
-
D.
Lyndon James
Lyndon James is an English cricketer known for playing as an all-rounder for Nottinghamshire.
-
E.
Lyndon Henry
Lyndon Henry is a notable individual distinguished enough to be recognized as a prominent bearer of the given name Lyndon.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dce342081909cad56dc92de13a2 |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5914dc81908c3b8cf999ee76a1 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:11 a.m.