Triple
T26430457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tillerman family |
E664490
|
entity |
| Predicate | hasNotableAwardForSeries |
P152300
|
FINISHED |
| Object | Newbery Medal for "Dicey’s Song" |
—
|
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: Newbery Medal for "Dicey’s Song" | Statement: [Tillerman family, hasNotableAwardForSeries, Newbery Medal for "Dicey’s Song"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAwardForSeries Context triple: [Tillerman family, hasNotableAwardForSeries, Newbery Medal for "Dicey’s Song"]
-
A.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
-
B.
associatedAwardWinningShow
Indicates that an entity is linked to a show that has received an award.
-
C.
notableMultipleAwardWinnersAlsoWon
Indicates that entities who are notable multiple award winners have also won an additional specified award.
-
D.
notableHolderAwardedTo
Indicates that a notable award or honor has been conferred upon a particular recipient.
-
E.
awardedToSeries
chosen
Indicates that an award or honor has been given to a particular series.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: April 26, 2026, 11:48 p.m.