Triple
T11157609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Things to Do in Denver When You're Dead |
E263950
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Lucinda |
E242956
|
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: Lucinda | Statement: [Things to Do in Denver When You're Dead, mainCharacter, Lucinda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucinda Context triple: [Things to Do in Denver When You're Dead, mainCharacter, Lucinda]
-
A.
Lucinda
chosen
Lucinda is a feminine given name used in various cultures, often considered a variant of Lucy or Lucille.
-
B.
Sheelagh
Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
-
C.
Lucinda Ballard
Lucinda Ballard was an American costume designer renowned for her work in theater, ballet, and film, and a pioneer in modern stage costume design.
-
D.
Lucinda Sanders
Lucinda Sanders is a prominent landscape architect and business leader, best known as a principal and CEO of the design firm OLIN.
-
E.
Glenna
Glenna is a fictional character distinguished by her prominent horns, often depicted as a horned or demonic figure in her narrative setting.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e87fe9a881909540ecc4ed9b6b9f |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46352e0688190924f15bc7d7ede90 |
completed | April 19, 2026, 5:08 a.m. |
Created at: April 8, 2026, 9:28 p.m.