Triple
T5757527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truman Capote |
E127005
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Truman |
E127005
|
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: Truman | Statement: [Truman Capote, hasGivenName, Truman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truman Context triple: [Truman Capote, hasGivenName, Truman]
-
A.
Truman
chosen
Truman is the given name of Truman Capote, the influential American author known for works like "In Cold Blood" and "Breakfast at Tiffany's."
-
B.
President Harry S. Truman
President Harry S. Truman was the 33rd president of the United States, known for making the decision to use atomic bombs in World War II, implementing the Marshall Plan, and shaping early Cold War policy.
-
C.
Eisenhower
Eisenhower is a prominent American surname most famously associated with Dwight D. Eisenhower, the 34th president of the United States, and his family.
-
D.
Roosevelt
Roosevelt is a prominent American surname most famously associated with political figures such as Presidents Theodore and Franklin D. Roosevelt and First Lady Eleanor Roosevelt.
-
E.
Roosevelt
Roosevelt is a major Chicago 'L' rapid transit station that serves as a key transfer point near the city's Museum Campus and South Loop.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029084e108190988f1b5f38254007 |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf9968d881908ef4065d1d13b2b8 |
completed | March 23, 2026, 4:20 a.m. |
Created at: March 22, 2026, 3:49 p.m.