Triple
T20223749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helga Hufflepuff |
E495322
|
entity |
| Predicate | houseColorsAssociated |
P21200
|
FINISHED |
| Object | yellow |
—
|
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: yellow | Statement: [Helga Hufflepuff, houseColorsAssociated, yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseColorsAssociated Context triple: [Helga Hufflepuff, houseColorsAssociated, yellow]
-
A.
hasHouseColor
chosen
Indicates that an entity possesses a house whose exterior is characterized by a specific color.
-
B.
homeColorsDominant
Indicates that the primary or most prominent colors associated with a subject’s home (such as a team’s home uniform or a building’s main color scheme) are specified or emphasized.
-
C.
buildingColor
Indicates the color or predominant exterior hue associated with a building.
-
D.
traditionalHomeColor
Indicates the customary or historically typical color associated with a home in a given cultural or regional tradition.
-
E.
traditionalHomeShortsColor
Indicates the typical or customary color of the home team’s shorts in a traditional or standard uniform set.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd827708190b798a30f4e7d533f |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.