Triple
T3967554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zlatan Ibrahimović |
E92251
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object |
Helena Seger
Helena Seger is a Swedish businesswoman and former model best known as the long-term partner of footballer Zlatan Ibrahimović.
|
E401189
|
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: Helena Seger | Statement: [Zlatan Ibrahimović, partner, Helena Seger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helena Seger Context triple: [Zlatan Ibrahimović, partner, Helena Seger]
-
A.
Sara Esberg
Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
-
B.
Cecilia Nessen
Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
C.
Heléne Andersson
Heléne Andersson is known as one of the children of Benny Andersson, the Swedish musician and composer from the pop group ABBA.
-
D.
Therese Andersson
Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
-
E.
Kristina Lugn
Kristina Lugn was a Swedish poet, playwright, and member of the Swedish Academy known for her darkly humorous and psychologically incisive works.
- 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: Helena Seger Triple: [Zlatan Ibrahimović, partner, Helena Seger]
Generated description
Helena Seger is a Swedish businesswoman and former model best known as the long-term partner of footballer Zlatan Ibrahimović.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helena Seger Target entity description: Helena Seger is a Swedish businesswoman and former model best known as the long-term partner of footballer Zlatan Ibrahimović.
-
A.
Sara Esberg
Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
-
B.
Cecilia Nessen
Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
C.
Heléne Andersson
Heléne Andersson is known as one of the children of Benny Andersson, the Swedish musician and composer from the pop group ABBA.
-
D.
Therese Andersson
Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
-
E.
Kristina Lugn
Kristina Lugn was a Swedish poet, playwright, and member of the Swedish Academy known for her darkly humorous and psychologically incisive works.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef978a14c8190a7982a2e4489b6ea |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533c189a88190b3a81c63621b98ac |
completed | March 14, 2026, 10:09 a.m. |
| NEDg | Description generation | batch_69b53470617c8190ab92103943c8ac7b |
completed | March 14, 2026, 10:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5352cae14819097fdf02b324fe814 |
completed | March 14, 2026, 10:15 a.m. |
Created at: March 9, 2026, 3:32 p.m.