Triple
T6295395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophus Lie |
E141118
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Lie |
E3160
|
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: Lie | Statement: [Sophus Lie, hasFamilyName, Lie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lie Context triple: [Sophus Lie, hasFamilyName, Lie]
-
A.
Lie
chosen
Lie is a Norwegian surname most notably borne by Trygve Lie, the first Secretary-General of the United Nations.
-
B.
LIE
LIE is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Liechtenstein.
-
C.
LIE
LIE is a major east–west highway in New York that serves as a primary route between New York City and Long Island.
-
D.
Deceive
"Deceive" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and themes of romantic conflict and mistrust.
-
E.
Liar!
"Liar!" is a classic Isaac Asimov science fiction short story about a mind-reading robot whose inability to harm humans leads it to tell comforting but ultimately damaging lies.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06439a6908190b0a8ebf426d3ca02 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e41fb4708190b6b1433e27c9276e |
completed | March 27, 2026, 1:57 a.m. |
Created at: March 22, 2026, 4:27 p.m.