Triple
T4126005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ipswich Town F.C. |
E92725
|
entity |
| Predicate | captain |
P884
|
FINISHED |
| Object |
Sam Morsy
Sam Morsy is an Egyptian international midfielder known for his combative style and leadership in English football.
|
E414934
|
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: Sam Morsy | Statement: [Ipswich Town F.C., captain, Sam Morsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Morsy Context triple: [Ipswich Town F.C., captain, Sam Morsy]
-
A.
Fady Elsayed
Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
-
B.
Nabil Elaraby
Nabil Elaraby is an Egyptian diplomat and jurist who has served in prominent international roles, including leadership within the Arab League and representation at the United Nations.
-
C.
El Rod El Farag
El Rod El Farag is a district in northern Cairo, Egypt, known for its dense urban neighborhoods and traditional markets.
-
D.
Karim
Karim is a surname most prominently associated with Jawed Karim, the computer scientist and entrepreneur who co-founded YouTube.
-
E.
Mansour Bahy
Mansour Bahy is a fictional character in Naguib Mahfouz’s novel "Miramar," representing one of the diverse social and political perspectives depicted in the story.
- 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: Sam Morsy Triple: [Ipswich Town F.C., captain, Sam Morsy]
Generated description
Sam Morsy is an Egyptian international midfielder known for his combative style and leadership in English football.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Morsy Target entity description: Sam Morsy is an Egyptian international midfielder known for his combative style and leadership in English football.
-
A.
Fady Elsayed
Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
-
B.
Nabil Elaraby
Nabil Elaraby is an Egyptian diplomat and jurist who has served in prominent international roles, including leadership within the Arab League and representation at the United Nations.
-
C.
El Rod El Farag
El Rod El Farag is a district in northern Cairo, Egypt, known for its dense urban neighborhoods and traditional markets.
-
D.
Karim
Karim is a surname most prominently associated with Jawed Karim, the computer scientist and entrepreneur who co-founded YouTube.
-
E.
Mansour Bahy
Mansour Bahy is a fictional character in Naguib Mahfouz’s novel "Miramar," representing one of the diverse social and political perspectives depicted in the story.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0219f0e48190b0a925f09d858d65 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576b96e588190bdf346a66a95138a |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577d391ac8190b6062b1f64e2e7e8 |
completed | March 14, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5787ed214819092fc425152069df9 |
completed | March 14, 2026, 3:02 p.m. |
Created at: March 9, 2026, 3:41 p.m.