Triple
T9795330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lonely |
E237702
|
entity |
| Predicate | robotCharacter |
P42911
|
FINISHED |
| Object | Alicia |
E823192
|
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: Alicia | Statement: [The Lonely, robotCharacter, Alicia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alicia Context triple: [The Lonely, robotCharacter, Alicia]
-
A.
Alicia
chosen
Alicia is a fictional character associated with the entity or concept known as "The Lonely."
-
B.
Alicia
Alicia is the given name of the American singer, songwriter, and pianist Alicia Keys, known for her soulful R&B music and powerful vocals.
-
C.
Arielle
Arielle is a given name shared by various individuals, including Arielle Zuckerberg, a venture capitalist and younger sister of Meta co-founder Mark Zuckerberg.
-
D.
Aliza
Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
-
E.
Elicia
Elicia is a secondary character in the Spanish tragicomedy "La Celestina," depicted as a young prostitute and companion of Celestina who contributes to the work’s themes of desire, greed, and social corruption.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5abb26c81909d597b65f24f9bcf |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:28 p.m.