Triple
T2133178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glamorous Glennis |
E46588
|
entity |
| Predicate | hasVariantName |
P457
|
FINISHED |
| Object | Glamorous Glennis II |
E46588
|
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: Glamorous Glennis II | Statement: [Glamorous Glennis, hasVariantName, Glamorous Glennis II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glamorous Glennis II Context triple: [Glamorous Glennis, hasVariantName, Glamorous Glennis II]
-
A.
Glamorous Glennis
chosen
Glamorous Glennis was the name Chuck Yeager gave to several of his aircraft, most famously the Bell X-1 rocket plane in which he first broke the sound barrier.
-
B.
Cloris
Cloris is a feminine given name most famously borne by the American actress Cloris Leachman.
-
C.
Brilliant Lady
Brilliant Lady is a modern cruise ship operated by Virgin Voyages, designed to offer an adults-only, boutique-style sailing experience.
-
D.
Lilly Belle
Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
-
E.
Gloria
Gloria is a joyful hymn of praise in Christian liturgy, traditionally sung during major celebrations such as the Easter Vigil.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbba0c42c8190ab3ce4bbf1531ee1 |
completed | March 7, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51a82a7c8190bc6737034d01f176 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.