Triple
T22574290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V/H/S |
E544351
|
entity |
| Predicate | hasSegment |
P3574
|
FINISHED |
| Object | Second Honeymoon |
—
|
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: Second Honeymoon | Statement: [V/H/S, hasSegment, Second Honeymoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Second Honeymoon Context triple: [V/H/S, hasSegment, Second Honeymoon]
-
A.
Second Honeymoon
chosen
Second Honeymoon is a found-footage horror short film segment directed by Ti West, featured in the anthology movie V/H/S.
-
B.
The Honeymoon
"The Honeymoon" is a novel by Justin Haythe that explores the complexities of love, betrayal, and identity in a richly atmospheric, character-driven narrative.
-
C.
The Honeymoon
The Honeymoon is a 1917 American silent comedy film directed by Charles Giblyn and starring Constance Talmadge.
-
D.
Lune de Miel
"Lune de Miel" is a poem from the 1920 collection *Poems* by Wilfred Owen, reflecting his characteristic blend of lyrical intensity and postwar disillusionment.
-
E.
Honeymoon
"Honeymoon" is a science fiction story set in the universe of Anne McCaffrey’s *The Ship Who Sang*, exploring the relationship between a brainship and her human partner.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fec296481908a6101b02e5bedaa |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.