Triple
T33239707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thaddeus Valentine |
E850929
|
entity |
| Predicate | screenWriterDepictionBy |
P174740
|
FINISHED |
| Object | Peter Jackson |
—
|
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: Peter Jackson | Statement: [Thaddeus Valentine, screenWriterDepictionBy, Peter Jackson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenWriterDepictionBy Context triple: [Thaddeus Valentine, screenWriterDepictionBy, Peter Jackson]
-
A.
screenwriterDepictionBy
chosen
Indicates a relationship where a screenwriter is portrayed or represented by another entity, such as in a work, record, or description.
-
B.
screenWriterOfWorkCreator
Indicates that one entity is the screenwriter responsible for creating the screenplay or script for a particular work.
-
C.
screenWriterCharacterOf
Indicates that a person serves as the screenwriter responsible for writing the character or the character’s role in a screenplay or film.
-
D.
screenwriterOfDepiction
Indicates that one entity is the screenwriter responsible for the script of a particular depiction or representation of a work or subject.
-
E.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 1:31 a.m.