Triple
T24931110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Grant as Will Freeman |
E618986
|
entity |
| Predicate | initialAttitudeTowardChildren |
P69313
|
FINISHED |
| Object | dislikes children |
—
|
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: dislikes children | Statement: [Hugh Grant as Will Freeman, initialAttitudeTowardChildren, dislikes children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialAttitudeTowardChildren Context triple: [Hugh Grant as Will Freeman, initialAttitudeTowardChildren, dislikes children]
-
A.
initialAttitude
chosen
Indicates the starting stance, feeling, or disposition one entity holds toward another or toward a situation before any interaction or change occurs.
-
B.
attitudeTowardFamily
Indicates a person’s feelings, beliefs, or stance regarding their family as a whole or specific family members.
-
C.
attitudeTowardEducation
Indicates an entity’s feelings, beliefs, or stance regarding education or educational practices.
-
D.
attitudeTowardFilialPiety
Indicates an entity’s stance, evaluation, or feelings regarding the value, practice, or importance of filial piety.
-
E.
cultAttitude
Indicates the stance, beliefs, or disposition that a cult or cult-like group holds toward a particular entity, idea, or practice.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:30 a.m.