Triple
T17586669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Island of Dr. Moreau (1977 film) |
E428339
|
entity |
| Predicate | hasCreatureType |
P36903
|
FINISHED |
| Object | human–animal hybrids |
—
|
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: human–animal hybrids | Statement: [The Island of Dr. Moreau (1977 film), hasCreatureType, human–animal hybrids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreatureType Context triple: [The Island of Dr. Moreau (1977 film), hasCreatureType, human–animal hybrids]
-
A.
hasCreature
chosen
Indicates that one entity possesses, contains, or is associated with a particular creature.
-
B.
usesCreature
Indicates that one entity employs, controls, or relies on a creature to perform an action or fulfill a function.
-
C.
mentionsCreature
Indicates that one entity refers to or brings up a particular creature in some form of communication or content.
-
D.
hasCamelSpecies
Indicates that one entity is a camel and the other specifies the biological species to which that camel belongs.
-
E.
hasAnimalClass
Indicates that an entity belongs to, or is categorized under, a particular animal class (such as mammal, bird, reptile, etc.).
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d22f908190ae0f1eeafbe54459 |
completed | April 19, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.