Triple
T31478785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwarz |
E803074
|
entity |
| Predicate | possibleOriginalReference |
P177361
|
FINISHED |
| Object | person with dark hair or complexion |
—
|
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: person with dark hair or complexion | Statement: [Schwarz, possibleOriginalReference, person with dark hair or complexion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleOriginalReference Context triple: [Schwarz, possibleOriginalReference, person with dark hair or complexion]
-
A.
originalFor
Indicates that one entity serves as the source, basis, or prototype from which another entity is derived, adapted, or created.
-
B.
originallyBy
Indicates that one entity is the original creator, author, or source of another entity.
-
C.
originallyResearchedFor
Indicates that something was first investigated, developed, or studied with a particular initial purpose, target, or application in mind.
-
D.
usesOriginalWorkKey
Indicates that an entity makes use of, references, or is derived from another entity identified as the original work by a specific key.
-
E.
originalProof
Indicates that one entity serves as the initial or primary proof or evidence supporting another entity.
- F. None of above. chosen
Provenance (4 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_69f348c9477c8190bc0a21f6d482d2fc |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 30, 2026, 9:31 p.m.