Triple
T23486787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Howland |
E570554
|
entity |
| Predicate | notableWork |
P4
|
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: [Beth Howland, notableWork, Alice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Context triple: [Beth Howland, notableWork, Alice]
-
A.
Alice
Alice is one of the given names of Anne, Princess Royal, the only daughter of Queen Elizabeth II and Prince Philip.
-
B.
Alice
"Alice" is a 2002 studio album by Tom Waits that blends dark cabaret, jazz, and experimental sounds, originally developed as music for a stage play collaboration with Robert Wilson.
-
C.
Alice
Alice is the given name of Alice Munro, the acclaimed Canadian short story writer and Nobel Prize in Literature laureate.
-
D.
Alice
Alice is the central protagonist of the Australian romantic comedy film "Love and Other Catastrophes," around whose relationships and misadventures the story revolves.
-
E.
Alice
chosen
Alice is the protagonist of the film "Race with the Devil," around whom the story’s suspenseful and perilous events revolve.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a754825481909b005ca5654c3159 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:04 p.m.