Triple
T18004886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portsmouth South (UK Parliament constituency) |
E430720
|
entity |
| Predicate | currentMP |
P69740
|
FINISHED |
| Object |
Stephen Morgan
Stephen Morgan is a British Labour Party politician serving as the Member of Parliament for Portsmouth South.
|
E1301433
|
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: Stephen Morgan | Statement: [Portsmouth South (UK Parliament constituency), currentMP, Stephen Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Morgan Context triple: [Portsmouth South (UK Parliament constituency), currentMP, Stephen Morgan]
-
A.
Tim Morgan
Tim Morgan is a Canadian entrepreneur best known as one of the co-founders of the low-cost airline WestJet.
-
B.
Andre Morgan
Andre Morgan is a film producer known for his work on movies such as the comedy "Snow Dogs."
-
C.
Leo Smith
Leo Smith is an American avant-garde jazz trumpeter and composer known for his innovative contributions to creative and experimental music.
-
D.
Leo Smith
Leo Smith is an education administrator who serves as the business administrator for the Bayonne School District, overseeing its financial and operational affairs.
-
E.
Danny Morgan
Danny Morgan is an actor known for appearing in the 2012 film adaptation of Jack Kerouac's "On the Road."
- 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: Stephen Morgan Triple: [Portsmouth South (UK Parliament constituency), currentMP, Stephen Morgan]
Generated description
Stephen Morgan is a British Labour Party politician serving as the Member of Parliament for Portsmouth South.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Morgan Target entity description: Stephen Morgan is a British Labour Party politician serving as the Member of Parliament for Portsmouth South.
-
A.
Tim Morgan
Tim Morgan is a Canadian entrepreneur best known as one of the co-founders of the low-cost airline WestJet.
-
B.
Andre Morgan
Andre Morgan is a film producer known for his work on movies such as the comedy "Snow Dogs."
-
C.
Leo Smith
Leo Smith is an American avant-garde jazz trumpeter and composer known for his innovative contributions to creative and experimental music.
-
D.
Leo Smith
Leo Smith is an education administrator who serves as the business administrator for the Bayonne School District, overseeing its financial and operational affairs.
-
E.
Danny Morgan
Danny Morgan is an actor known for appearing in the 2012 film adaptation of Jack Kerouac's "On the Road."
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b3eb1f748190904c8894d22cf85f |
completed | April 19, 2026, 10:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03431b4b6c8190836e7856a93d485c |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a03447c0530819082d554592eec03ca |
completed | May 12, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034552e424819087b23bcf3f688523 |
completed | May 12, 2026, 3:20 p.m. |
Created at: April 10, 2026, 10:23 a.m.