Triple
T21345517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William E. Odom |
E526323
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Odom |
—
|
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: Odom | Statement: [William E. Odom, familyName, Odom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odom Context triple: [William E. Odom, familyName, Odom]
-
A.
Odom
chosen
Odom is a surname most prominently associated with former NBA star Lamar Odom.
-
B.
Semon
Semon is the surname of American silent film comedian, director, and producer Larry Semon.
-
C.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
-
D.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
-
E.
Ford Sterling
Ford Sterling was a prominent American silent film comedian and actor, best known as one of the leading stars of early slapstick cinema.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a854e8ec81909efd41c1e959cc61 |
completed | April 22, 2026, 10:52 a.m. |
Created at: April 16, 2026, 4:54 p.m.