Triple
T14642805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gus |
E343767
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Jaq |
E62937
|
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: Jaq | Statement: [Gus, friendOf, Jaq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaq Context triple: [Gus, friendOf, Jaq]
-
A.
Jaq
chosen
Jaq is one of Cinderella’s loyal mouse friends in Disney’s 1950 animated film, known for his bravery, resourcefulness, and comic personality.
-
B.
Jaega
The Jaega were a Native American people who inhabited the southeastern coast of Florida prior to European contact.
-
C.
Darel
Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
-
D.
Jaquenetta
Jaquenetta is a country wench in Shakespeare's comedy "Love's Labour's Lost," whose romantic entanglements and misunderstandings contribute significantly to the play's comic plot.
-
E.
Liet-Kynes
Liet-Kynes is a key character in Frank Herbert's Dune universe, an Imperial planetologist on Arrakis who secretly champions the Fremen dream of transforming the desert world into a more hospitable planet.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d404e881908d26e684702ae122 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.