Triple
T12173894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atiba Hutchinson |
E290040
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Atiba
Atiba is a Canadian professional soccer player best known for his long-standing role as a midfielder and captain for the Canada national team and his successful club career in Europe and Turkey.
|
E965876
|
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: Atiba | Statement: [Atiba Hutchinson, givenName, Atiba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atiba Context triple: [Atiba Hutchinson, givenName, Atiba]
-
A.
Orabi
Orabi is a central Cairo Metro station on Line 1, located in downtown Cairo near major commercial and administrative areas.
-
B.
Butrus
Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
-
C.
Tzippori
Tzippori is an archaeological site and modern village in Israel known for its rich remains from the Roman and Byzantine periods, including impressive mosaics and ancient Jewish and early Christian heritage.
-
D.
Itaal Shur
Itaal Shur is a Grammy-winning American songwriter, producer, and musician best known for co-writing Santana’s hit song “Smooth.”
-
E.
Giora
Giora is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities.
- 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: Atiba Triple: [Atiba Hutchinson, givenName, Atiba]
Generated description
Atiba is a Canadian professional soccer player best known for his long-standing role as a midfielder and captain for the Canada national team and his successful club career in Europe and Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atiba Target entity description: Atiba is a Canadian professional soccer player best known for his long-standing role as a midfielder and captain for the Canada national team and his successful club career in Europe and Turkey.
-
A.
Orabi
Orabi is a central Cairo Metro station on Line 1, located in downtown Cairo near major commercial and administrative areas.
-
B.
Butrus
Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
-
C.
Tzippori
Tzippori is an archaeological site and modern village in Israel known for its rich remains from the Roman and Byzantine periods, including impressive mosaics and ancient Jewish and early Christian heritage.
-
D.
Itaal Shur
Itaal Shur is a Grammy-winning American songwriter, producer, and musician best known for co-writing Santana’s hit song “Smooth.”
-
E.
Giora
Giora is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915dab42881908e2580c631d4d1cf |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a9482481909500c216f23fceb4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5fdebe3fc81909a5bb23a943c3c43 |
completed | May 2, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5feeaf2e48190995f282b02a9caaf |
completed | May 2, 2026, 1:40 p.m. |
Created at: April 8, 2026, 9:50 p.m.