Triple
T31103272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godzilla (1954 film) |
E792729
|
entity |
| Predicate | hasAmericanVersion |
P171149
|
FINISHED |
| Object | Godzilla, King of the Monsters! (1956 film) |
—
|
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: Godzilla, King of the Monsters! (1956 film) | Statement: [Godzilla (1954 film), hasAmericanVersion, Godzilla, King of the Monsters! (1956 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmericanVersion Context triple: [Godzilla (1954 film), hasAmericanVersion, Godzilla, King of the Monsters! (1956 film)]
-
A.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
B.
isAmerican
Indicates that an entity has American nationality or is from the United States.
-
C.
hasInternationalVersion
Indicates that an entity has a corresponding version or counterpart adapted for use in multiple countries or international contexts.
-
D.
languageOfUSVersion
Indicates that one entity is the language used in the U.S. version of another entity (such as a work, product, or edition).
-
E.
hasKoreanVersion
Indicates that something has a corresponding version or counterpart that is in the Korean language.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6e0b888190a417ae712c42db0d |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:03 p.m.