Triple
T3287381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephenie Meyer |
E69015
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stephenie |
E69015
|
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: Stephenie | Statement: [Stephenie Meyer, givenName, Stephenie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephenie Context triple: [Stephenie Meyer, givenName, Stephenie]
-
A.
Stephanie Bishop
Stephanie Bishop is an actress known for her role in the British drama film "Looking for Eric," directed by Ken Loach.
-
B.
Stephenie Meyer
chosen
Stephenie Meyer is an American author best known for writing the hugely popular Twilight vampire romance series, which was adapted into a successful film franchise.
-
C.
Stephanie Spruce
Stephanie Spruce is a member of the King family and the sister of American author Tabitha King.
-
D.
Daveigh Chase
Daveigh Chase is an American actress and voice actress best known for voicing Lilo Pelekai in Disney's "Lilo & Stitch" and for her role as Samara in the horror film "The Ring."
-
E.
Jessica Barth
Jessica Barth is an American actress best known for playing Tami-Lynn in the comedy films "Ted" and "Ted 2."
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb058e00881908fdf0a23208860d4 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e85f71508190b194b4d383d7ee32 |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.