Triple
T5731903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Torrance |
E126402
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Abra Stone |
E195230
|
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: Abra Stone | Statement: [Danny Torrance, relative, Abra Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abra Stone Context triple: [Danny Torrance, relative, Abra Stone]
-
A.
Abra Stone
chosen
Abra Stone is a powerful young psychic (a "shiner") who plays a central role in Stephen King’s horror novel "Doctor Sleep," the sequel to "The Shining."
-
B.
Abra
Abra is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and rich natural landscapes.
-
C.
Abra de Ilog
Abra de Ilog is a coastal municipality in Occidental Mindoro, Philippines, known as a gateway between Mindoro Island and mainland Luzon via ferry connections.
-
D.
Pichu
Pichu is a small, baby Electric-type Pokémon known as the pre-evolved form of Pikachu, often depicted as playful and inexperienced with its own electricity.
-
E.
Flega
Flega is the summit of Mount Smolikas, one of the highest and most prominent peaks in Greece.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02532fd308190a7434dd42a55e9ac |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a906e008190bd2b9a3481733f14 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.