Triple
T18568172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Campese |
E453808
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Campo
Campo is the nickname of David Campese, the legendary Australian rugby union winger renowned for his attacking flair and try-scoring prowess.
|
E1330670
|
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: Campo | Statement: [David Campese, nickname, Campo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campo Context triple: [David Campese, nickname, Campo]
-
A.
Campo
Campo is a town located in the South Region of Brazil.
-
B.
Campo
Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
-
C.
Campo
Campo is a small rural community in southeastern San Diego County, California, known for its historic railroad, military history sites, and proximity to the U.S.–Mexico border.
-
D.
Field
Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
-
E.
Field
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
- 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: Campo Triple: [David Campese, nickname, Campo]
Generated description
Campo is the nickname of David Campese, the legendary Australian rugby union winger renowned for his attacking flair and try-scoring prowess.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Campo Target entity description: Campo is the nickname of David Campese, the legendary Australian rugby union winger renowned for his attacking flair and try-scoring prowess.
-
A.
Campo
Campo is a town located in the South Region of Brazil.
-
B.
Campo
Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
-
C.
Campo
Campo is a small rural community in southeastern San Diego County, California, known for its historic railroad, military history sites, and proximity to the U.S.–Mexico border.
-
D.
Field
Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
-
E.
Field
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53affc3e08190b4d16b5ccb0bddbc |
completed | April 19, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049aecd7988190aeaba90194c93f12 |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049f08e2608190838c6f8dc09cfa0d |
completed | May 13, 2026, 3:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049f971c34819085b6a3acab8b3ef8 |
completed | May 13, 2026, 3:58 p.m. |
Created at: April 10, 2026, 11:43 a.m.