Triple
T3015937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mighty Joe Young (1949 film) |
E82334
|
entity |
| Predicate | hasSpeciesOfMainCreature |
P17196
|
FINISHED |
| Object | gorilla |
—
|
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: gorilla | Statement: [Mighty Joe Young (1949 film), hasSpeciesOfMainCreature, gorilla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeciesOfMainCreature Context triple: [Mighty Joe Young (1949 film), hasSpeciesOfMainCreature, gorilla]
-
A.
hasCreature
Indicates that one entity possesses, contains, or is associated with a particular creature.
-
B.
hasDominantSpecies
Indicates that one entity possesses or is characterized by a species that is predominant or most influential within it.
-
C.
speciesType
chosen
Indicates the specific biological species category to which an entity belongs.
-
D.
hasPrimaryFishSpecies
Indicates that an entity is characterized by or associated with a particular main or dominant fish species.
-
E.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6b37288190a6965d183ca4b08b |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.