Triple
T12912988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apprentice Part 1 |
E308904
|
entity |
| Predicate | featuresRelationship |
P37
|
FINISHED |
| Object | Robin and Slade |
E63684
|
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: Robin and Slade | Statement: [Apprentice Part 1, featuresRelationship, Robin and Slade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin and Slade Context triple: [Apprentice Part 1, featuresRelationship, Robin and Slade]
-
A.
Slade (Teen Titans)
chosen
Slade (Teen Titans) is the primary masked supervillain and arch-nemesis of Robin in the animated Teen Titans series, known for his strategic genius, manipulation, and mysterious identity.
-
B.
Robbin
Robbin is a given name and surname used as a variant of Robbins.
-
C.
Raven
Raven is a fictional character who appears in the comic series "Old Wounds," serving as a key figure in its narrative.
-
D.
Raven
Raven is the mascot representing Sequoia High School’s athletic teams and school spirit.
-
E.
Raven
Raven is a central trickster-creator figure in Haida mythology, known for shaping the world and bringing light and knowledge to humanity.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719f96248190b746f9d4a468560c |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a56ea03c819093a5b8657e27768e |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:41 p.m.