Triple
T33770454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evey Hammond |
E865363
|
entity |
| Predicate | romanticUndertoneWith |
P148729
|
FINISHED |
| Object | V (primarily in the film adaptation) |
—
|
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: V (primarily in the film adaptation) | Statement: [Evey Hammond, romanticUndertoneWith, V (primarily in the film adaptation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: romanticUndertoneWith Context triple: [Evey Hammond, romanticUndertoneWith, V (primarily in the film adaptation)]
-
A.
romanticPattern
Indicates a recurring style, tendency, or structure in how romantic relationships or attractions develop or are expressed between entities.
-
B.
romanticThemeExpressedThrough
chosen
Indicates that a romantic theme is conveyed or manifested through a particular medium, element, or aspect of a work or situation.
-
C.
romanticallyObsessedWith
Indicates a strong, often overwhelming romantic fixation or preoccupation that one entity has toward another.
-
D.
romanticFeeling
Indicates that one entity experiences romantic attraction or affection toward another entity.
-
E.
romanticArc
Indicates a developing or ongoing romantic relationship or storyline between the involved entities.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: May 1, 2026, 1:45 a.m.