Triple
T3287415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephenie Meyer |
E69015
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Host (novel) |
E161467
|
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: The Host (novel) | Statement: [Stephenie Meyer, notableWork, The Host (novel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Host (novel) Context triple: [Stephenie Meyer, notableWork, The Host (novel)]
-
A.
The Host
The Host is a character in the action-strategy game Minecraft Legends who guides and assists the player as they defend the Overworld from invading Piglins.
-
B.
The Host
chosen
The Host is a 2013 science fiction film, based on Stephenie Meyer’s novel, in which Diane Kruger plays a key role in a future where alien “souls” have taken over human bodies.
-
C.
The Strain
The Strain is a horror drama franchise—best known as a TV series—about a vampiric plague overtaking New York City, co-created by filmmaker Guillermo del Toro.
-
D.
The Body
"The Body" is a coming-of-age novella by Stephen King, best known as the basis for the 1986 film "Stand by Me."
-
E.
Ghost Host
Ghost Host is the disembodied, darkly humorous narrator who guides guests through Disney’s Haunted Mansion attraction.
- 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_69b2f3cd5f508190ac5abc2dcdf0957d |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.