Triple
T28923666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifty Shades film series |
E733585
|
entity |
| Predicate | thirdInstallment |
P179034
|
FINISHED |
| Object | Fifty Shades Freed (film) |
—
|
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: Fifty Shades Freed (film) | Statement: [Fifty Shades film series, thirdInstallment, Fifty Shades Freed (film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdInstallment Context triple: [Fifty Shades film series, thirdInstallment, Fifty Shades Freed (film)]
-
A.
thirdElement
Indicates that one entity is the third element in an ordered sequence or tuple associated with another entity.
-
B.
thirdTier
Indicates that an entity occupies a third level or rank within a hierarchical structure or classification.
-
C.
thirdWord
Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
-
D.
thirdCycle
Indicates that the related entity is in, associated with, or pertains to the third cycle or third iteration within a defined sequence, process, or phase.
-
E.
thirdEpisode
Indicates that one entity is the third episode in sequence within a series or season relative to another entity.
- F. None of above. chosen
Provenance (4 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71995853c8190912025c0e83640c8 |
completed | May 3, 2026, 9:47 a.m. |
Created at: April 28, 2026, 8:21 a.m.