Triple
T26105583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastside High School (Lean on Me) |
E658526
|
entity |
| Predicate | yearOfDepiction |
P54917
|
FINISHED |
| Object | 1989 (film release year) |
—
|
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: 1989 (film release year) | Statement: [Eastside High School (Lean on Me), yearOfDepiction, 1989 (film release year)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfDepiction Context triple: [Eastside High School (Lean on Me), yearOfDepiction, 1989 (film release year)]
-
A.
yearDepicted
chosen
Indicates the specific year in which the subject is portrayed, represented, or set.
-
B.
releaseYearOfDepiction
Indicates the year in which the depicted event, scene, or representation was released or first made publicly available.
-
C.
dateDepicted
Indicates that one entity specifies the calendar date on which the other entity, typically an event or scene, is depicted as occurring.
-
D.
approximateDepictionDate
Indicates the estimated or inferred date when a depiction was created, rather than a precise, confirmed date.
-
E.
artworkInstallationYear
Indicates the year in which an artwork was installed or put in place at a particular location.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 26, 2026, 7:58 p.m.