Triple
T31106742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kong (MonsterVerse) |
E792813
|
entity |
| Predicate | heightInGodzillaVsKong |
P171613
|
FINISHED |
| Object | approximately 102 meters |
—
|
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: approximately 102 meters | Statement: [Kong (MonsterVerse), heightInGodzillaVsKong, approximately 102 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightInGodzillaVsKong Context triple: [Kong (MonsterVerse), heightInGodzillaVsKong, approximately 102 meters]
-
A.
heightInKongSkullIsland
Indicates the height of an entity as measured or depicted within the context or setting of Kong: Skull Island.
-
B.
positionInGodzillaSeries
Indicates the specific installment number or order that an item occupies within the Godzilla series.
-
C.
relationshipWithGodzilla
Indicates the type or nature of a relationship that an entity has with Godzilla.
-
D.
eraOfGodzillaSeries
Indicates the specific historical or thematic period within the Godzilla franchise to which a given work or entry belongs.
-
E.
zygodactylFeetDescription
Indicates that an entity possesses zygodactyl feet, meaning its toes are arranged in two opposing pairs (typically two forward and two backward).
- 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_69f6a1ac56b88190a820434b65c9fa23 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 29, 2026, 9:03 p.m.