Triple
T13838506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Schmeichel |
E332590
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object |
Hvidovre IF
Hvidovre IF is a Danish football club known for developing notable players, including legendary goalkeeper Peter Schmeichel.
|
E1065636
|
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: Hvidovre IF | Statement: [Peter Schmeichel, playedFor, Hvidovre IF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hvidovre IF Context triple: [Peter Schmeichel, playedFor, Hvidovre IF]
-
A.
Hvidovre IF youth
Hvidovre IF youth is the youth academy system of Danish football club Hvidovre IF, focused on developing young players for professional and senior-level competition.
-
B.
Vejle Boldklub
Vejle Boldklub is a Danish professional football club known for its historic success in the national league and cup competitions.
-
C.
Haderslev FK
Haderslev FK is a Danish football club based in the town of Haderslev.
-
D.
Næstved Boldklub
Næstved Boldklub is a Danish football club based in the town of Næstved, known for competing in the national league system and developing local talent.
-
E.
Holstebro Boldklub
Holstebro Boldklub is a Danish football club based in the town of Holstebro, competing in the lower tiers of the national league system and focusing on both senior and youth development.
- 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: Hvidovre IF Triple: [Peter Schmeichel, playedFor, Hvidovre IF]
Generated description
Hvidovre IF is a Danish football club known for developing notable players, including legendary goalkeeper Peter Schmeichel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hvidovre IF Target entity description: Hvidovre IF is a Danish football club known for developing notable players, including legendary goalkeeper Peter Schmeichel.
-
A.
Hvidovre IF youth
Hvidovre IF youth is the youth academy system of Danish football club Hvidovre IF, focused on developing young players for professional and senior-level competition.
-
B.
Vejle Boldklub
Vejle Boldklub is a Danish professional football club known for its historic success in the national league and cup competitions.
-
C.
Haderslev FK
Haderslev FK is a Danish football club based in the town of Haderslev.
-
D.
Næstved Boldklub
Næstved Boldklub is a Danish football club based in the town of Næstved, known for competing in the national league system and developing local talent.
-
E.
Holstebro Boldklub
Holstebro Boldklub is a Danish football club based in the town of Holstebro, competing in the lower tiers of the national league system and focusing on both senior and youth development.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02ac6b7c81908d44632d6d628339 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ed7e8c81909ffed37f5b097188 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c23410dc8190972245cecfa85871 |
completed | May 3, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3031a0c8190ad30d59fe1f2322e |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:13 p.m.