Triple
T34239512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | plans to ship Woody and the Roundup gang to Japan |
E878422
|
entity |
| Predicate | hasYearOfDepiction |
P54917
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [plans to ship Woody and the Roundup gang to Japan, hasYearOfDepiction, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYearOfDepiction Context triple: [plans to ship Woody and the Roundup gang to Japan, hasYearOfDepiction, 1999]
-
A.
releaseYearOfDepiction
Indicates the year in which the depicted event, scene, or representation was released or first made publicly available.
-
B.
yearDepicted
chosen
Indicates the specific year in which the subject is portrayed, represented, or set.
-
C.
artworkInstallationYear
Indicates the year in which an artwork was installed or put in place at a particular location.
-
D.
approximateDepictionDate
Indicates the estimated or inferred date when a depiction was created, rather than a precise, confirmed date.
-
E.
notableDepictionYear
Indicates the year in which a notable or significant depiction of an entity occurred or was created.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.