Triple
T26384520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amneris |
E663238
|
entity |
| Predicate | firstKnownPortrayer |
P125619
|
FINISHED |
| Object | Eleonora Grossi |
—
|
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: Eleonora Grossi | Statement: [Amneris, firstKnownPortrayer, Eleonora Grossi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstKnownPortrayer Context triple: [Amneris, firstKnownPortrayer, Eleonora Grossi]
-
A.
firstPortrayedBy
chosen
Indicates that the subject character or role was originally depicted or played by the specified performer for the first time.
-
B.
authorOfDepiction
Indicates that one entity is the creator or author responsible for producing a particular depiction of another entity.
-
C.
eraDepicted
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
D.
firstStagePortrayalBy
Indicates that an entity’s initial or earliest stage is depicted or represented by another entity.
-
E.
portrayerKnownFor
Indicates that a person is especially recognized or famous for portraying a particular role, character, or work.
- F. None of above.
Provenance (3 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: April 26, 2026, 11:21 p.m.