Triple
T20397129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillian Arch |
E500235
|
entity |
| Predicate | spouseOfGenre |
P44007
|
FINISHED |
| Object | horror film |
—
|
LITERAL 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: horror film | Statement: [Lillian Arch, spouseOfGenre, horror film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfGenre Context triple: [Lillian Arch, spouseOfGenre, horror film]
-
A.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
B.
genreAssociatedWithSpouse
chosen
Indicates that a particular genre is associated with, or characterizes, the spouse of the referenced entity.
-
C.
spouseCharacterOf
Indicates a marital relationship where one character is the spouse of another character.
-
D.
spouseOfType
Indicates that one entity is the spouse of another, specifying the type or role of that spousal relationship.
-
E.
spouseAppearsIn
Indicates that the spouse of a given person appears or is featured in a specified work, context, or setting.
- F. None of above.
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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798b6640819085d5b12dc35633fe |
completed | April 20, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:28 a.m.