Triple
T9376589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daughter |
E225659
|
entity |
| Predicate | roleOfRemiAguilella |
P87646
|
FINISHED |
| Object | drums |
—
|
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: drums | Statement: [Daughter, roleOfRemiAguilella, drums]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfRemiAguilella Context triple: [Daughter, roleOfRemiAguilella, drums]
-
A.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
B.
describesRoleAs
Indicates that one entity specifies or characterizes the role or function played by another entity.
-
C.
roleInTSEliotLife
Indicates the specific role, involvement, or significance an entity had in T. S. Eliot’s life.
-
D.
roleInReact
Indicates that an entity participates in a reaction with a specified functional or contextual role (e.g., reactant, product, catalyst, or regulator).
-
E.
roleInElysium
Indicates that an entity holds a specific role, position, or function within the context of Elysium.
- 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50ab658c8190b23b2a97d15bb3f1 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6c733881908aa3070830c2100b |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b843d08190ab8f5fb6acdca93b |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:44 p.m.