Triple
T3016656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Harris as Albus Dumbledore |
E82351
|
entity |
| Predicate | eyeColorInPortrayal |
P21689
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [Richard Harris as Albus Dumbledore, eyeColorInPortrayal, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eyeColorInPortrayal Context triple: [Richard Harris as Albus Dumbledore, eyeColorInPortrayal, blue]
-
A.
hasEyeColor
chosen
Indicates that an entity possesses eyes of a specified color.
-
B.
eyeType
Indicates the specific kind or category of eyes an entity has, such as their form, structure, or visual style.
-
C.
hasEyes
Indicates that an entity possesses eyes as physical features.
-
D.
eyeAssociation
Indicates a relationship where one entity is associated with, linked to, or characterized by a particular eye or eye-related feature of another entity.
-
E.
hairColorInFiction
Indicates that a fictional character is depicted as having a particular hair color within a narrative or fictional 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6c56708190b7d8d08bca727cc1 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.