Triple
T21728530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ned McCaslin |
E536336
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Ned McCaslin |
—
|
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: Ned McCaslin | Statement: [Ned McCaslin, hasName, Ned McCaslin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ned McCaslin Context triple: [Ned McCaslin, hasName, Ned McCaslin]
-
A.
Ned McCaslin
chosen
Ned McCaslin is a supporting character in William Faulkner’s novel "The Reivers," involved in the comic misadventures surrounding a stolen car and a trip from Mississippi to Memphis.
-
B.
Buck McCaslin
Buck McCaslin is a fictional member of the McCaslin family featured in William Faulkner’s Yoknapatawpha County saga.
-
C.
Ned Washington
Ned Washington was an American lyricist renowned for his work on classic film songs and popular standards in the mid-20th century.
-
D.
Finn Abernathy
Finn Abernathy is a recurring intern and forensic anthropology student on the TV series "Bones," known for his troubled past and sharp analytical skills.
-
E.
Blackford Oakes
Blackford Oakes is a fictional American CIA agent and Cold War spy created by William F. Buckley Jr.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd03c6ec8190a2f0445c1f3a45b4 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.