Triple
T37990253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Almighty Tallest Purple |
E947805
|
entity |
| Predicate | relationshipToZim |
P204520
|
FINISHED |
| Object | superior |
—
|
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: superior | Statement: [The Almighty Tallest Purple, relationshipToZim, superior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToZim Context triple: [The Almighty Tallest Purple, relationshipToZim, superior]
-
A.
relationshipToJoachimZiemßen
Indicates the nature of a person's relationship or connection to Joachim Ziemßen.
-
B.
relationshipToFelix
Indicates the specific type of relationship or connection that an entity has with Felix.
-
C.
hasRelationshipTypeWithZal
Indicates that one entity has a specific, defined type of relationship with the entity Zal.
-
D.
relationToITF
Indicates a relationship or association that an entity has with the ITF (International Tennis Federation), such as affiliation, governance, or regulatory connection.
-
E.
relationshipToHumans
Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:20 p.m.