Triple
T20466898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Timothy Cain |
E502074
|
entity |
| Predicate | antagonistOf |
P18963
|
FINISHED |
| Object | Alice |
—
|
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: Alice | Statement: [Major Timothy Cain, antagonistOf, Alice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Context triple: [Major Timothy Cain, antagonistOf, Alice]
-
A.
Alice
Alice is an American sitcom that aired from the mid-1970s to the mid-1980s, following a widowed waitress working at a roadside diner and the quirky people in her life.
-
B.
Alice
Alice is a feminine given name of Old French and Germanic origin, commonly used in English-speaking countries and popularized by literary works such as "Alice's Adventures in Wonderland."
-
C.
Alice
Alice Roosevelt Longworth was an influential American writer and socialite, the eldest child of President Theodore Roosevelt, known for her sharp wit and prominent role in Washington, D.C. society.
-
D.
Alice
Alice is a recurring character in the "Dilbert" comic strip, known as a sharp, technically skilled engineer with a notoriously short temper.
-
E.
Alice
chosen
Alice is a recurring engineer character in the "Dilbert" comic strip, known for her technical competence and no-nonsense attitude in a dysfunctional corporate workplace.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995d9d1c81909ee223a35a0850ba |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.