Triple
T29083274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I am Groot" |
E734034
|
entity |
| Predicate | interpretationByCharacters |
P93383
|
FINISHED |
| Object | understood by Rocket Raccoon |
—
|
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: understood by Rocket Raccoon | Statement: ["I am Groot", interpretationByCharacters, understood by Rocket Raccoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretationByCharacters Context triple: ["I am Groot", interpretationByCharacters, understood by Rocket Raccoon]
-
A.
perceivedAsByCharacters
chosen
Indicates how something is viewed, interpreted, or understood by one or more characters.
-
B.
representsForCharacters
Indicates that one entity performs a representation or advocacy role on behalf of specific characters.
-
C.
analyzedByCharacter
Indicates that something (such as an event, object, or situation) is examined, interpreted, or evaluated by a particular character.
-
D.
usesCharacterMapping
Indicates that one entity applies a defined correspondence between characters (a character mapping) to transform or interpret another entity.
-
E.
usesCharactersAs
Indicates that one entity employs or incorporates specific characters (such as letters, symbols, or glyphs) from another entity for its representation or functioning.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 28, 2026, 10:57 a.m.