Triple
T10537256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Fenech |
E248601
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fenech
Fenech is a Maltese-origin surname most notably associated with Australian boxing champion Jeff Fenech.
|
E869835
|
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: Fenech | Statement: [Jeff Fenech, familyName, Fenech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fenech Context triple: [Jeff Fenech, familyName, Fenech]
-
A.
Faeto
Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
-
B.
Ferentino
Ferentino is a historic hill town in the Lazio region of central Italy, known for its ancient Roman and medieval architecture.
-
C.
Faetar
Faetar is a rare Romance language variety spoken by a small Franco-Provençal community in southern Italy, notable for preserving archaic features within an Italo-Romance environment.
-
D.
Fages
Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
-
E.
Garessio
Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian 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: Fenech Triple: [Jeff Fenech, familyName, Fenech]
Generated description
Fenech is a Maltese-origin surname most notably associated with Australian boxing champion Jeff Fenech.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fenech Target entity description: Fenech is a Maltese-origin surname most notably associated with Australian boxing champion Jeff Fenech.
-
A.
Faeto
Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
-
B.
Ferentino
Ferentino is a historic hill town in the Lazio region of central Italy, known for its ancient Roman and medieval architecture.
-
C.
Faetar
Faetar is a rare Romance language variety spoken by a small Franco-Provençal community in southern Italy, notable for preserving archaic features within an Italo-Romance environment.
-
D.
Fages
Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
-
E.
Garessio
Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a554fb4819081e9618bab051dc6 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e5b827881909e87651a88976f18 |
completed | April 10, 2026, 2:51 p.m. |
| NEDg | Description generation | batch_69d9107f488481908845aef0fdf6d60d |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911790010819093fc50952502fd59 |
completed | April 10, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:31 p.m.