Triple
T17166111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty |
E416612
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | T-Ray |
E658063
|
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: T-Ray | Statement: [Betty, producer, T-Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-Ray Context triple: [Betty, producer, T-Ray]
-
A.
T-Ray
chosen
T-Ray is a powerful sorcerer and mercenary in Marvel Comics who serves as one of Deadpool’s most dangerous and obsessive arch-enemies.
-
B.
T-Rac
T-Rac is the raccoon-themed costumed mascot of the NFL’s Tennessee Titans, known for his energetic antics and fan engagement at games and events.
-
C.
Slinker
Slinker is one of the derisive nicknames given to Gollum in J.R.R. Tolkien’s The Lord of the Rings, reflecting his sneaky, creeping nature.
-
D.
Tyrell
Tyrell is a prominent noble house in the world of "Game of Thrones" and "A Song of Ice and Fire," known for its wealth, influence, and rule over the fertile Reach from its seat at Highgarden.
-
E.
Tyrell
Tyrell is a character known for being the adopted child of Rome Howard in the television drama "A Million Little Things."
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483b827081909619ea691c4c0e1e |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.