Triple
T27049814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Won't You Be My Neighbor? |
E684733
|
entity |
| Predicate | yearOfOscarSnubDiscussion |
P178015
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Won't You Be My Neighbor?, yearOfOscarSnubDiscussion, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfOscarSnubDiscussion Context triple: [Won't You Be My Neighbor?, yearOfOscarSnubDiscussion, 2019]
-
A.
yearOfNotableSpeech
Indicates the specific year in which an entity delivered a notable or significant speech.
-
B.
isNotedByCriticsFor
Indicates that something has been recognized and highlighted by critics specifically for a particular quality, feature, or aspect.
-
C.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
D.
bestStoryOscarCreditedTo
Indicates that an entity is credited as the recipient of the Academy Award (Oscar) for Best Original or Adapted Screenplay for a particular film or story.
-
E.
bestPictureInitiallyAnnouncedAs
Indicates that an award for Best Picture was first (and possibly mistakenly) announced as going to a particular film or recipient.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 27, 2026, 8:13 a.m.