Triple
T14528741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stoic |
E340846
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Aileen Butler |
E1201159
|
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: Aileen Butler | Statement: [The Stoic, hasCharacter, Aileen Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aileen Butler Context triple: [The Stoic, hasCharacter, Aileen Butler]
-
A.
Aileen Butler
Aileen Butler is a central character in Theodore Dreiser’s novel "The Financier," known as the beautiful and passionate mistress of the ambitious financier Frank Cowperwood.
-
B.
Aileen Butler
chosen
Aileen Butler is a fictional character from the novel "The Titan" by Theodore Dreiser.
-
C.
Antoinette O’Reilly
Antoinette O’Reilly is best known as the former wife of former Major League Baseball pitcher and current broadcaster Ron Darling.
-
D.
Alvirah Meehan
Alvirah Meehan is an amateur sleuth and former cleaning woman turned lottery winner who appears as the sharp, nosy, and warm-hearted protagonist in Mary Higgins Clark’s mystery stories.
-
E.
Donna Molloy
Donna Molloy is a film and television producer known for her work on the project "Care."
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ebbc67c8190bd930a2773edb5b2 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 1:22 a.m.