Triple
T18074857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hathor chapel |
E432528
|
entity |
| Predicate | associatedRoleOfHathor |
P129711
|
FINISHED |
| Object | goddess of music |
—
|
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: goddess of music | Statement: [Hathor chapel, associatedRoleOfHathor, goddess of music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRoleOfHathor Context triple: [Hathor chapel, associatedRoleOfHathor, goddess of music]
-
A.
associatedCollectiveRole
Indicates that an entity is linked to a role or function held within a collective, group, or organization.
-
B.
roleInApollo
Indicates that an entity holds or held a specific role or position within the Apollo program or an Apollo mission.
-
C.
associatedWithTitleHolderRole
Indicates a relationship where an entity is connected to, or linked with, a role held by a title holder.
-
D.
associatedDataRole
Indicates that one entity has a specific role in relation to data that is linked or connected to another entity.
-
E.
associatedWithUnitRole
Indicates that an entity has a connection or linkage to a specific role within a particular unit or organizational subdivision.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f40c9881909294d538c026d486 |
completed | April 19, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:26 a.m.