Triple
T37367702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flubber |
E927755
|
entity |
| Predicate | featuresFictionalSubstance |
P55739
|
FINISHED |
| Object | Flubber |
E927755
|
NE 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: Flubber | Statement: [Flubber, featuresFictionalSubstance, Flubber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFictionalSubstance Context triple: [Flubber, featuresFictionalSubstance, Flubber]
-
A.
featuresSubstance
Indicates that one entity contains, includes, or is characterized by the presence of a particular substance.
-
B.
hasFictionalSubstance
chosen
Indicates that one entity includes, contains, or involves a fictional or imaginary substance as part of its composition, setting, or narrative.
-
C.
featuresFictionalElement
Indicates that one entity includes, presents, or incorporates a fictional element (such as an imaginary character, place, object, or concept) as part of its content or composition.
-
D.
substancePersonified
Indicates that an abstract substance or concept is represented or treated as if it were a person or sentient being.
-
E.
featuresDrug
Indicates that something (such as a product, treatment, or context) includes, involves, or prominently uses a particular drug.
- F. None of above.
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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4076f531308190824c845656c82c11 |
completed | June 28, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.