Triple
T38456425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Sunday |
E912330
|
entity |
| Predicate | filmTrilogy |
P177208
|
FINISHED |
| Object | 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: The Lord of the Rings film trilogy | Statement: [Mount Sunday, filmTrilogy, The Lord of the Rings film trilogy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmTrilogy Context triple: [Mount Sunday, filmTrilogy, The Lord of the Rings film trilogy]
-
A.
filmTrilogyAppearance
Indicates that an entity appears in, or is part of, a specific film trilogy.
-
B.
partOfTrilogy
Indicates that one work belongs to a set of three related works that together form a trilogy.
-
C.
trilogyDepicts
chosen
Indicates that a trilogy portrays, represents, or narratively focuses on a particular subject, event, or set of entities.
-
D.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
E.
hasPartInTrilogy
Indicates that an entity is one of the constituent parts (e.g., books, films, or episodes) that together form a specific trilogy.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.