Triple
T28890507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easterlings |
E732680
|
entity |
| Predicate | filmAdaptationPortrayal |
P61636
|
FINISHED |
| Object | Peter Jackson’s The Lord of the Rings film trilogy |
—
|
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’s The Lord of the Rings film trilogy | Statement: [Easterlings, filmAdaptationPortrayal, Peter Jackson’s The Lord of the Rings film trilogy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmAdaptationPortrayal Context triple: [Easterlings, filmAdaptationPortrayal, Peter Jackson’s The Lord of the Rings film trilogy]
-
A.
filmAdaptationOfWork
Indicates that a film is an adaptation based on the narrative content of a specific original work.
-
B.
inFilmAdaptation
chosen
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
C.
filmAdaptationFormat
Indicates the specific medium or format (e.g., feature film, TV movie, short film) in which a work has been adapted into a film.
-
D.
filmAdaptationStarred
Indicates that a particular person played a starring role in a specific film adaptation of a work.
-
E.
fromFilmAdaptation
Indicates that something originates from, or is derived from, a film adaptation of another work.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a75dfc88190b919126bcafd64c7 |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 7:54 a.m.