Triple
T1300210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kjell Lie |
E27744
|
entity |
| Predicate | hasSurname |
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: [Kjell Lie, hasSurname, Lie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lie Context triple: [Kjell Lie, hasSurname, 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.
Denial
Denial is a 2016 historical drama film starring Timothy Spall that dramatizes the legal battle between historian Deborah Lipstadt and Holocaust denier David Irving.
-
D.
liar paradox
The liar paradox is a classic self-referential logical puzzle arising from sentences that declare their own falsehood, leading to a contradiction about whether they are true or false.
-
E.
One of My Lies
"One of My Lies" is a song by the American punk rock band Green Day from their early studio album "Kerplunk."
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb30292dc8190a33fd62c997c3f1b |
completed | March 7, 2026, 11:21 p.m. |
Created at: March 1, 2026, 7:51 p.m.