Triple
T25502370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melting Asphalt |
E639148
|
entity |
| Predicate | hasExternalRelationship |
P166122
|
FINISHED |
| Object | The Elephant in the Brain |
—
|
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: The Elephant in the Brain | Statement: [Melting Asphalt, hasExternalRelationship, The Elephant in the Brain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExternalRelationship Context triple: [Melting Asphalt, hasExternalRelationship, The Elephant in the Brain]
-
A.
hasRelationships
Indicates that an entity is connected to one or more other entities through specified types of relationships.
-
B.
hasExternalLink
Indicates that an entity is associated with a hyperlink pointing to a resource outside the current system or domain.
-
C.
hasRelation
Indicates that there exists some specified relationship or association between two entities.
-
D.
isExternalTo
Indicates that one entity exists or operates outside the boundaries, scope, or domain of another entity.
-
E.
hasExternalPartner
Indicates that an entity is engaged in a relationship, collaboration, or interaction with a partner organization or individual outside its own structure or system.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 21, 2026, 2:45 p.m.