Triple
T15985406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Falls |
E387678
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Ariah Erskine |
E1187849
|
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: Ariah Erskine | Statement: [The Falls, hasCharacter, Ariah Erskine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariah Erskine Context triple: [The Falls, hasCharacter, Ariah Erskine]
-
A.
Ariah Erskine
chosen
Ariah Erskine is the central character in Joyce Carol Oates’s novel "The Falls," whose life is shaped by tragedy, secrecy, and the haunting presence of Niagara Falls.
-
B.
Isla Dawson
Isla Dawson is a remote Chilean island in southern Patagonia, located within the Strait of Magellan and known for its harsh climate and historical use as a mission and penal colony.
-
C.
Tamsin Pickeral
Tamsin Pickeral is an art historian and author known for her books on animal-themed art and the cultural history of animals.
-
D.
Ariana Richards
Ariana Richards is an American actress and painter best known for playing Lex Murphy in the film "Jurassic Park."
-
E.
Alannah Henriksen
Alannah Henriksen is the daughter of American actor Lance Henriksen, known for his roles in science fiction and horror films.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15757a3548190900de1962308f6b8 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1abad48190a42510605c30d0b3 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.