Triple
T9044280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slim Whitman |
E216715
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Whitman |
E155751
|
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: Whitman | Statement: [Slim Whitman, familyName, Whitman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitman Context triple: [Slim Whitman, familyName, Whitman]
-
A.
Whitman
chosen
Whitman is a small town in Plymouth County, Massachusetts, known as the birthplace of the chocolate chip cookie.
-
B.
Walt Whitman
Walt Whitman was an American character actor of the silent film era, known for his supporting roles in numerous early 20th-century motion pictures.
-
C.
Walt Whitman
Walt Whitman was a pioneering 19th-century American poet and essayist best known for his groundbreaking poetry collection "Leaves of Grass," which profoundly influenced modern literature.
-
D.
Edward Dickinson
Edward Dickinson was a prominent 19th-century Amherst lawyer, politician, and civic leader best known as the father of poet Emily Dickinson.
-
E.
Whittier
Whittier is a suburban city in Los Angeles County, California, known for its historic downtown, Quaker roots, and as the namesake of Whittier College.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b137cec8190bd1b812c10d9542a |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeba4c5f48190b7fc85f2137dd93e |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.