Triple
T36288069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giulio Strozzi |
E893143
|
entity |
| Predicate | roleInRelationToBarbaraStrozzi |
P203447
|
FINISHED |
| Object | adoptive father |
—
|
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: adoptive father | Statement: [Giulio Strozzi, roleInRelationToBarbaraStrozzi, adoptive father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRelationToBarbaraStrozzi Context triple: [Giulio Strozzi, roleInRelationToBarbaraStrozzi, adoptive father]
-
A.
relativeTypeToJohannSebastianBach
Indicates a familial relationship that a person has to Johann Sebastian Bach (e.g., parent, child, sibling, spouse, or other relative).
-
B.
notableBaritoneAria
Indicates that the subject is a baritone aria recognized as particularly important, famous, or distinguished within the operatic repertoire.
-
C.
librettistOfSuorAngelica
Indicates that one entity is the librettist who wrote the libretto for the opera *Suor Angelica*.
-
D.
notableLyricSopranoRole
Indicates that the subject is notably recognized for performing the specified lyric soprano role.
-
E.
hasMezzoSopranoRole
Indicates that an entity is assigned or associated with a role intended for a mezzo-soprano voice.
- 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a017e7bdfe481909cb4d5bdede6035e |
completed | May 11, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_6a017defee108190bdf5f98dc415b250 |
completed | May 11, 2026, 6:57 a.m. |
| PDg | Predicate description generation | batch_6a017e7b0ef4819090f82220b73d0888 |
completed | May 11, 2026, 7 a.m. |
Created at: May 3, 2026, 4:09 p.m.