Triple
T13745711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labi Siffre |
E330205
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Siffre
Siffre is the surname of Labi Siffre, a British singer-songwriter, poet, and activist known for his soulful music and socially conscious lyrics.
|
E1060634
|
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: Siffre | Statement: [Labi Siffre, familyName, Siffre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siffre Context triple: [Labi Siffre, familyName, Siffre]
-
A.
De Cifris
De Cifris is a 15th-century treatise by Leon Battista Alberti that lays foundational principles of cryptography, including the introduction of polyalphabetic substitution.
-
B.
Sifra
Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
-
C.
Valiron
Valiron is a French surname most notably associated with Georges Valiron, a prominent mathematician known for his contributions to complex analysis.
-
D.
Tous
Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
-
E.
Sibinal
Sibinal is a highland municipality in western Guatemala’s San Marcos Department, known for its rural communities and proximity to the Tacaná volcano near the Mexican border.
- 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: Siffre Triple: [Labi Siffre, familyName, Siffre]
Generated description
Siffre is the surname of Labi Siffre, a British singer-songwriter, poet, and activist known for his soulful music and socially conscious lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siffre Target entity description: Siffre is the surname of Labi Siffre, a British singer-songwriter, poet, and activist known for his soulful music and socially conscious lyrics.
-
A.
De Cifris
De Cifris is a 15th-century treatise by Leon Battista Alberti that lays foundational principles of cryptography, including the introduction of polyalphabetic substitution.
-
B.
Sifra
Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
-
C.
Valiron
Valiron is a French surname most notably associated with Georges Valiron, a prominent mathematician known for his contributions to complex analysis.
-
D.
Tous
Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
-
E.
Sibinal
Sibinal is a highland municipality in western Guatemala’s San Marcos Department, known for its rural communities and proximity to the Tacaná volcano near the Mexican border.
- F. None of above. chosen
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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a851f68c81908b24bc5275a58ad3 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a91deb3c8190ad2be7f1ca99ac9b |
completed | May 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad54e3e88190aeae31d69788cce5 |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:08 p.m.