Triple
T19995309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillian Lynne |
E494176
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Dame |
—
|
NE NERFINISHED |
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: Dame | Statement: [Gillian Lynne, hasTitle, Dame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dame Context triple: [Gillian Lynne, hasTitle, Dame]
-
A.
Dame
Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
-
B.
Dame
chosen
Dame is a British honorific title bestowed primarily upon women in recognition of significant contributions to national life, often in the arts, public service, or other distinguished fields.
-
C.
The Queen
"The Queen" is one of the love poems by Chilean Nobel laureate Pablo Neruda, included in his influential 1924 collection *Twenty Love Poems and a Song of Despair*.
-
D.
The Queen
The Queen is a novel by Alex Haley and David Stevens that explores the life of a biracial woman navigating race and identity in the American South.
-
E.
The Queen
The Queen is the second studio album by American rapper Lil' Kim, known for its bold lyrics, high-profile collaborations, and influential role in late-1990s hip hop.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe3fb288190a935c334e8a5d54e |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.