Triple
T4059600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Railway (U.S.) |
E84776
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object | Samuel Spencer |
E410891
|
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: Samuel Spencer | Statement: [Southern Railway (U.S.), keyPerson, Samuel Spencer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Spencer Context triple: [Southern Railway (U.S.), keyPerson, Samuel Spencer]
-
A.
Samuel Spencer
chosen
Samuel Spencer was an American railroad executive best known as the first president and a key organizer of the Southern Railway in the late 19th century.
-
B.
Samuel Black
Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
-
C.
Samuel Russell
Samuel Russell was an architect known for designing the Middlesex Guildhall in London, a notable example of early 20th-century civic architecture.
-
D.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
-
E.
Samuel Gardner
Samuel Gardner is a fictional teenage protagonist on the autism spectrum from the Netflix series "Atypical."
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd32c0c8190bc575974ccf831b3 |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b52e31c819099f9d354c197cf00 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:38 p.m.