Triple
T9893083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teach Us to Outgrow Our Madness |
E181501
|
entity |
| Predicate | authorAwardedNobelPrizeYear |
P53973
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Teach Us to Outgrow Our Madness, authorAwardedNobelPrizeYear, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorAwardedNobelPrizeYear Context triple: [Teach Us to Outgrow Our Madness, authorAwardedNobelPrizeYear, 1994]
-
A.
authorNobelYear
chosen
Indicates the year in which an author received a Nobel Prize.
-
B.
NobelPrizeYear
Indicates the specific year in which an entity received or was awarded a Nobel Prize.
-
C.
NobelPrizeCoLaureate
Indicates that two or more individuals share the same Nobel Prize as co-recipients for a particular award and year.
-
D.
authorNobelLaureate
Indicates that the author is a recipient of a Nobel Prize.
-
E.
NobelPrizeShare
Indicates the proportion or fraction of a Nobel Prize that is allocated to a particular laureate or laureate entity.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4814a3c8190ab1fd7f755a44508 |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.