Triple
T35153955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red House |
E1015066
|
entity |
| Predicate | hasCoverColorInTitle |
P157848
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [The Red House, hasCoverColorInTitle, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoverColorInTitle Context triple: [The Red House, hasCoverColorInTitle, red]
-
A.
colorInTitle
chosen
Indicates that the title of an entity explicitly contains the name of a color.
-
B.
hasFrontCoverTitle
Indicates that an item’s front cover bears a specific title text.
-
C.
title2Covers
Indicates that a specific title (such as a book, article, or work) includes or addresses certain cover materials, topics, or visual cover designs.
-
D.
title1Covers
Indicates that one title or document provides coverage, inclusion, or treatment of the subject matter of another title or document.
-
E.
coverVersionTitle
Indicates that one creative work is a cover version of another and specifies the title used for that cover version.
- 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.