Triple
T18604502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis Vernon Harcourt |
E454703
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Lulu Harcourt |
—
|
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: Lulu Harcourt | Statement: [Lewis Vernon Harcourt, alsoKnownAs, Lulu Harcourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lulu Harcourt Context triple: [Lewis Vernon Harcourt, alsoKnownAs, Lulu Harcourt]
-
A.
Lulu Harcourt
chosen
Lulu Harcourt is the nickname of Lewis Vernon Harcourt, a British Liberal politician who served as Secretary of State for the Colonies in the early 20th century.
-
B.
Ella D'Arcy
Ella D'Arcy was a British fin-de-siècle short story writer associated with literary modernism and the aesthetic movement.
-
C.
Lilly Berger
Lilly Berger is a central teenage protagonist in the coming-of-age drama film "Very Good Girls," navigating first love, friendship, and personal identity.
-
D.
Lizzie Brocheré
Lizzie Brocheré is a French actress known for her work in both European cinema and American television, including a prominent role in the horror anthology series American Horror Story.
-
E.
Lola Perrin
Lola Perrin is a composer and pianist known for her contemporary classical works and collaborations across film, theatre, and interdisciplinary projects.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e547535b8c8190ab5a8a92f15f2bcb |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:45 a.m.