Triple
T7672208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heigh-Ho |
E173774
|
entity |
| Predicate | featuredInWorkReleaseYear |
P18082
|
FINISHED |
| Object | 1937 |
—
|
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: 1937 | Statement: [Heigh-Ho, featuredInWorkReleaseYear, 1937]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInWorkReleaseYear Context triple: [Heigh-Ho, featuredInWorkReleaseYear, 1937]
-
A.
workReleaseYear
Indicates the calendar year in which a work (such as a book, film, or album) was first released or made publicly available.
-
B.
notableWorkYear
Indicates the year in which a notable work associated with an entity was created, released, or achieved prominence.
-
C.
previousWorkReleaseYear
Indicates the year in which an earlier or prior work in a sequence or related set was released.
-
D.
settingOfWorkFeaturedIn
Indicates that a place or environment serves as the primary setting where the events of a creative work take place.
-
E.
yearOfFilmAppearance
chosen
Indicates the specific year in which a film appearance by an entity took place.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.