Triple
T28658225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tensed Theory of Time |
E725390
|
entity |
| Predicate | makesUseOfConcept |
P58359
|
FINISHED |
| Object |
A-series
A-series is a philosophical concept of time that orders events as past, present, or future and is central to tensed (A-theoretic) views of temporal reality.
|
E1828899
|
NE FINISHED |
How this triple was built (3 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: A-series | Statement: [The Tensed Theory of Time, makesUseOfConcept, A-series]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A-series Triple: [The Tensed Theory of Time, makesUseOfConcept, A-series]
Generated description
A-series is a philosophical concept of time that orders events as past, present, or future and is central to tensed (A-theoretic) views of temporal reality.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: makesUseOfConcept Context triple: [The Tensed Theory of Time, makesUseOfConcept, A-series]
-
A.
hasConceptualUse
Indicates that one entity is used or applied in a conceptual, abstract, or theoretical way by another entity.
-
B.
usedInConcept
chosen
Indicates that something (such as a method, idea, or component) is employed as part of, or plays a role within, a particular concept.
-
C.
usesConceptIdentifier
Indicates that one entity refers to or operates with a specific concept by means of its unique identifier.
-
D.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
E.
hasConceptualInvolvementBy
Indicates that something is conceptually influenced, shaped, or defined by the ideas, theories, or mental contributions of a particular agent or source.
- F. None of above.
Provenance (6 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1cc39016e48190b7c5230b1d367c1c |
completed | May 31, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a1cc44ac1448190b0dc305eb5e460be |
completed | May 31, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1cc571b3b481908c523e5bad5e086a |
completed | May 31, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:56 a.m.