Triple
T8482660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumper et al., Nature 2021 |
E200555
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object |
Tamas Berghammer
Tamas Berghammer is a scientific researcher who co-authored a 2021 study published in the journal Nature.
|
E736810
|
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: Tamas Berghammer | Statement: [Jumper et al., Nature 2021, hasAuthor, Tamas Berghammer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamas Berghammer Context triple: [Jumper et al., Nature 2021, hasAuthor, Tamas Berghammer]
-
A.
Andrej Meszároš
Andrej Meszároš is a Slovak professional ice hockey defenceman who has played in the NHL and internationally for the Slovak national team.
-
B.
Hugo Matuschek
Hugo Matuschek is the demanding but ultimately kind-hearted owner of a Budapest leather goods shop in the classic romantic comedy film "The Shop Around the Corner."
-
C.
Andras Hamori
Andras Hamori is a film producer known for his work on various international and independent movies.
-
D.
Gerd Strohmeier
Gerd Strohmeier is a German political scientist and university administrator who serves as the rector of Chemnitz University of Technology.
-
E.
Markus Huber
Markus Huber is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Huber.
- 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: Tamas Berghammer Triple: [Jumper et al., Nature 2021, hasAuthor, Tamas Berghammer]
Generated description
Tamas Berghammer is a scientific researcher who co-authored a 2021 study published in the journal Nature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamas Berghammer Target entity description: Tamas Berghammer is a scientific researcher who co-authored a 2021 study published in the journal Nature.
-
A.
Andrej Meszároš
Andrej Meszároš is a Slovak professional ice hockey defenceman who has played in the NHL and internationally for the Slovak national team.
-
B.
Hugo Matuschek
Hugo Matuschek is the demanding but ultimately kind-hearted owner of a Budapest leather goods shop in the classic romantic comedy film "The Shop Around the Corner."
-
C.
Andras Hamori
Andras Hamori is a film producer known for his work on various international and independent movies.
-
D.
Gerd Strohmeier
Gerd Strohmeier is a German political scientist and university administrator who serves as the rector of Chemnitz University of Technology.
-
E.
Markus Huber
Markus Huber is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Huber.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53638c48190b742fc51d1b4442a |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a2b2e9081909f19712946c6ec20 |
completed | April 2, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ce3b4008a0819096bb44b46f510213 |
completed | April 2, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3c000e608190adf1b6499d382529 |
completed | April 2, 2026, 9:50 a.m. |
Created at: March 30, 2026, 6:12 p.m.