Triple
T8433376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groot |
E199167
|
entity |
| Predicate | mcuVersion |
P83330
|
FINISHED |
| Object | Teen Groot |
E199167
|
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: Teen Groot | Statement: [Groot, mcuVersion, Teen Groot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teen Groot Context triple: [Groot, mcuVersion, Teen Groot]
-
A.
Groot
chosen
Groot is a sentient, tree-like alien superhero from Marvel Comics and the Marvel Cinematic Universe, known for his limited vocabulary and close partnership with Rocket Raccoon.
-
B.
Rocket Raccoon
Rocket Raccoon is a genetically modified, cybernetically enhanced raccoon-like creature known for his sharpshooting skills, engineering genius, and sarcastic wit in the Marvel universe.
-
C.
Mombi
Mombi is a wicked witch from L. Frank Baum’s Oz series, best known for usurping and enchanting Princess Ozma to conceal her true identity.
-
D.
Neytiri
Neytiri is a skilled Na'vi warrior and princess of the Omaticaya clan who becomes Jake Sully's guide and love interest in the film "Avatar."
-
E.
Bantam Starfire
Bantam Starfire is a young adult fiction imprint of Bantam Books known for publishing teen-oriented novels and series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4576d48c8190a3e94d8ab3001b65 |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d673ed48190abf765c203ed2a0f |
completed | April 2, 2026, 7:40 a.m. |
Created at: March 30, 2026, 6:07 p.m.