Triple
T4311761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodor W. Adorno Award |
E94089
|
entity |
| Predicate | hasAwardJury |
P56390
|
FINISHED |
| Object | jury appointed by the City of Frankfurt |
—
|
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: jury appointed by the City of Frankfurt | Statement: [Theodor W. Adorno Award, hasAwardJury, jury appointed by the City of Frankfurt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardJury Context triple: [Theodor W. Adorno Award, hasAwardJury, jury appointed by the City of Frankfurt]
-
A.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
B.
isSpecialJuryHonor
Indicates that an entity has received a special honorary recognition or award from a jury, distinct from standard prizes or categories.
-
C.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
D.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
E.
hasAwardConnection
Indicates a relationship where an entity is connected to an award, such as by receiving, being nominated for, or otherwise associated with that award.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d6cba08190a9440cee7b9dc40d |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:11 p.m.