Triple
T3926636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevermind |
E93290
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Polly |
E378461
|
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: Polly | Statement: [Nevermind, hasPart, Polly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polly Context triple: [Nevermind, hasPart, Polly]
-
A.
Polly
Polly is the nickname of Mary Prince, a West Indian woman whose 1831 autobiography was the first account of a Black woman’s life published in Britain and a powerful indictment of slavery.
-
B.
Polly
Polly is a ballad opera by John Gay, written as a sequel to his famous work "The Beggar's Opera" and noted for its satirical treatment of colonialism and morality.
-
C.
Polly
Polly is a fictional character known as the daughter of Uncle Tom in Harriet Beecher Stowe’s novel "Uncle Tom’s Cabin."
-
D.
Polly
Polly is an LLVM project component that performs advanced loop optimizations and automatic parallelization using polyhedral compilation techniques.
-
E.
Polly
chosen
Polly is a fictional companion of the Doctor in the long-running British science fiction television series Doctor Who.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed80a1e48190aa39748b9db42701 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52878184c8190980af506bb03d5db |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:23 p.m.