Triple
T15029258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Beenhakker |
E378298
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Beenhakker
Beenhakker is the surname of Leo Beenhakker, a renowned Dutch football manager known for coaching top clubs and national teams.
|
E1133991
|
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: Beenhakker | Statement: [Leo Beenhakker, familyName, Beenhakker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beenhakker Context triple: [Leo Beenhakker, familyName, Beenhakker]
-
A.
The Hacker
The Hacker is a villainous character portrayed by Christopher Lloyd in the educational animated television series "Cyberchase."
-
B.
Hacko
Hacko is the nickname of Lorenz Hackenholt, an SS officer who played a key role in operating gas chambers during the Holocaust.
-
C.
Hecker
Hecker is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
D.
Bakster
Bakster is an alternative spelling or variant form of the name Baxter, typically used as a surname or given name.
-
E.
Bek
Bek is a short or informal given name, typically used as a diminutive of Rebekah.
- 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: Beenhakker Triple: [Leo Beenhakker, familyName, Beenhakker]
Generated description
Beenhakker is the surname of Leo Beenhakker, a renowned Dutch football manager known for coaching top clubs and national teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beenhakker Target entity description: Beenhakker is the surname of Leo Beenhakker, a renowned Dutch football manager known for coaching top clubs and national teams.
-
A.
The Hacker
The Hacker is a villainous character portrayed by Christopher Lloyd in the educational animated television series "Cyberchase."
-
B.
Hacko
Hacko is the nickname of Lorenz Hackenholt, an SS officer who played a key role in operating gas chambers during the Holocaust.
-
C.
Hecker
Hecker is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
D.
Bakster
Bakster is an alternative spelling or variant form of the name Baxter, typically used as a surname or given name.
-
E.
Bek
Bek is a short or informal given name, typically used as a diminutive of Rebekah.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9e5dbbe0819084567688758b0245 |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9eedca1481908ce438991184d62e |
completed | May 9, 2026, 2:41 a.m. |
Created at: April 10, 2026, 2:59 a.m.