Triple
T19789278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Mitchum |
E475365
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Mitchum |
E475365
|
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: Mitchum | Statement: [Robert Mitchum, hasFamilyName, Mitchum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitchum Context triple: [Robert Mitchum, hasFamilyName, Mitchum]
-
A.
Mitchum
Mitchum is a personal care brand best known for its high-performance antiperspirants and deodorants.
-
B.
Mitchum
chosen
Mitchum is a surname most notably associated with American actors, including classic Hollywood star Robert Mitchum and several of his relatives.
-
C.
Winfield
Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
-
D.
Winfield
Winfield is a small town located in Lake County, Indiana, known primarily as a residential community near the Chicago metropolitan area.
-
E.
Philmore
Philmore is a character appearing in the 1914 silent film "Jitney," likely serving as one of its supporting comedic roles.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538ae5108190b80eb7de6f445f02 |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4fdbf4c8190a9177e87b65fc965 |
completed | May 16, 2026, 1:14 a.m. |
Created at: April 10, 2026, 1:49 p.m.