Triple
T17742117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Basel |
E442885
|
entity |
| Predicate | notableFormerCoach |
P4378
|
FINISHED |
| Object |
Christian Gross
Christian Gross is a Swiss football manager and former player best known for his successful coaching spells at clubs such as FC Basel and Tottenham Hotspur.
|
E1288655
|
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: Christian Gross | Statement: [FC Basel, notableFormerCoach, Christian Gross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Gross Context triple: [FC Basel, notableFormerCoach, Christian Gross]
-
A.
Paul Groesse
Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
-
B.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
-
C.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
D.
Daniel Roher
Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
-
E.
Christian Roth
Christian Roth was a mountaineer known for participating in the first recorded ascent of Shkhara, one of the highest peaks in the Caucasus.
- 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: Christian Gross Triple: [FC Basel, notableFormerCoach, Christian Gross]
Generated description
Christian Gross is a Swiss football manager and former player best known for his successful coaching spells at clubs such as FC Basel and Tottenham Hotspur.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Gross Target entity description: Christian Gross is a Swiss football manager and former player best known for his successful coaching spells at clubs such as FC Basel and Tottenham Hotspur.
-
A.
Paul Groesse
Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
-
B.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
-
C.
Christian Specht
Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
-
D.
Daniel Roher
Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
-
E.
Christian Roth
Christian Roth was a mountaineer known for participating in the first recorded ascent of Shkhara, one of the highest peaks in the Caucasus.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acd780c8190b1308ef0aca00f5c |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f82a0ebc819086144b345f605e99 |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f93ba16c8190a5503981c7808699 |
completed | May 12, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02fabd2a948190abdb62c109421fc5 |
completed | May 12, 2026, 10:02 a.m. |
Created at: April 10, 2026, 10:09 a.m.