Triple
T4808873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Drax |
E107015
|
entity |
| Predicate | goalInFilm |
P32840
|
FINISHED |
| Object | wipe out humanity on Earth using nerve gas |
—
|
LITERAL FINISHED |
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: wipe out humanity on Earth using nerve gas | Statement: [Hugo Drax, goalInFilm, wipe out humanity on Earth using nerve gas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalInFilm Context triple: [Hugo Drax, goalInFilm, wipe out humanity on Earth using nerve gas]
-
A.
goals
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
B.
allegedGoal
Indicates that one entity is claimed or reported to have the goal or intended objective of another entity, without asserting that the goal is actually true.
-
C.
subjectOfFilm
Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
-
D.
laterGoal
Indicates that one goal occurs or is intended to be achieved after another goal in time.
-
E.
statedAsGoalFor
chosen
Indicates that something has been explicitly declared or identified as a goal for a particular entity or context.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.