Triple
T35161206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirror for Mankind |
E1015270
|
entity |
| Predicate | hasOriginalPhrase |
P10011
|
FINISHED |
| Object | Speculum Hominis |
—
|
NE NERFINISHED |
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: Speculum Hominis | Statement: [Mirror for Mankind, hasOriginalPhrase, Speculum Hominis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalPhrase Context triple: [Mirror for Mankind, hasOriginalPhrase, Speculum Hominis]
-
A.
hasOriginalPart
Indicates that an entity includes a component or segment that is part of its initial, original composition.
-
B.
originalLanguagePhrase
chosen
Indicates that one phrase is the original-language version from which another phrase (typically a translation or adaptation) is derived.
-
C.
hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
-
D.
hasOriginalNameOf
Indicates that one entity is the original or earlier name from which another entity’s current or later name is derived.
-
E.
hasOriginalCharacter
Indicates that an entity includes, features, or is associated with an original character distinct from pre-existing or canonical characters.
- 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_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 3, 2026, 4:02 p.m.