Triple
T877381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ragnhild Lie |
E18951
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lie
Lie is a common Norwegian surname borne by numerous notable figures in fields such as politics, arts, and sports.
|
E3160
|
NE FINISHED |
How this triple was built (4 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: [Ragnhild Lie, familyName, Lie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lie Context triple: [Ragnhild Lie, familyName, Lie]
-
A.
Vérité
Vérité is a socially engaged novel by Émile Zola that denounces anti-Semitism and religious intolerance in France, inspired by the Dreyfus Affair.
-
B.
Liar Liar
Liar Liar is a 1997 comedy film starring Jim Carrey as a fast-talking lawyer magically compelled to tell the truth for 24 hours, leading to a series of chaotic and humorous consequences.
-
C.
A Liar’s Autobiography
A Liar’s Autobiography is a surreal, comedic memoir by Monty Python member Graham Chapman that blends fact and fiction to chronicle his life and career.
-
D.
The Imposture
The Imposture is a Caroline-era stage play by English dramatist James Shirley, known as one of his notable comedies of intrigue.
-
E.
The Truth
The Truth is the famous nickname of former NBA star Paul Pierce, a Hall of Fame small forward best known for his long tenure and championship with the Boston Celtics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lie Triple: [Ragnhild Lie, familyName, Lie]
Generated description
Lie is a common Norwegian surname borne by numerous notable figures in fields such as politics, arts, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lie Target entity description: Lie is a common Norwegian surname borne by numerous notable figures in fields such as politics, arts, and sports.
-
A.
Lie
chosen
Lie is a Norwegian surname most notably borne by Trygve Lie, the first Secretary-General of the United Nations.
-
B.
Vérité
Vérité is a socially engaged novel by Émile Zola that denounces anti-Semitism and religious intolerance in France, inspired by the Dreyfus Affair.
-
C.
Liar Liar
Liar Liar is a 1997 comedy film starring Jim Carrey as a fast-talking lawyer magically compelled to tell the truth for 24 hours, leading to a series of chaotic and humorous consequences.
-
D.
A Liar’s Autobiography
A Liar’s Autobiography is a surreal, comedic memoir by Monty Python member Graham Chapman that blends fact and fiction to chronicle his life and career.
-
E.
The Imposture
The Imposture is a Caroline-era stage play by English dramatist James Shirley, known as one of his notable comedies of intrigue.
- F. None of above.
Provenance (5 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acb06ea88190962502172d434eb4 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c01d1a7081909da3d8b2aadaed6f |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c09d63a08190b30d77db969ad5f0 |
completed | March 4, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c0fef22c8190b49fbaef969ba098 |
completed | March 4, 2026, 5:19 a.m. |
Created at: March 1, 2026, 7:39 p.m.