Triple
T2550094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikkit Gate |
E56602
|
entity |
| Predicate | opposedBy |
P437
|
FINISHED |
| Object | Trillian |
E26447
|
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: Trillian | Statement: [Wikkit Gate, opposedBy, Trillian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trillian Context triple: [Wikkit Gate, opposedBy, Trillian]
-
A.
Trillian
chosen
Trillian is a brilliant human mathematician and astrophysicist who becomes an intergalactic traveler in Douglas Adams' comic science fiction series "The Hitchhiker's Guide to the Galaxy."
-
B.
Trisha
Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
-
C.
Joanne
Joanne is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
-
D.
Alison
Alison is a feminine given name of English origin, commonly used in many English-speaking countries.
-
E.
Roberta
"Roberta" is a 1935 Hollywood musical film starring Fred Astaire (Frederick Austerlitz) and Ginger Rogers, known for its fashion-world setting and classic Jerome Kern songs.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e930508190a6bc9fc4fa431070 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af655c8d7c8190bef109b10d04464f |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:48 p.m.