Triple
T614975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsters University |
E12182
|
entity |
| Predicate | plotFocus |
P13679
|
FINISHED |
| Object | training to become professional scarers |
—
|
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: training to become professional scarers | Statement: [Monsters University, plotFocus, training to become professional scarers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plotFocus Context triple: [Monsters University, plotFocus, training to become professional scarers]
-
A.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
programFocus
chosen
Indicates that an educational or training program is primarily oriented around or concentrated on a particular subject, theme, or objective.
-
C.
missionFocus
Indicates that an entity’s primary attention, effort, or resources are directed toward a particular mission, goal, or objective.
-
D.
interactionPoint
Indicates a specific location or moment where two or more entities come into contact or engage with each other.
-
E.
focusesOnTeam
Indicates that the subject directs attention, effort, or priority toward a particular team as the main area of concern or activity.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e0b438881909ad515adf7a4eb79 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfbcbf88190a854921dc531eba8 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.