Triple
T5063002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Heydler |
E114070
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Heydler
Heydler is a surname most notably associated with John Heydler, an early 20th-century president of the National League in Major League Baseball.
|
E490334
|
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: Heydler | Statement: [John Heydler, familyName, Heydler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heydler Context triple: [John Heydler, familyName, Heydler]
-
A.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
-
B.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
C.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
-
D.
Haller
Haller is a surname most notably associated with Ernest Haller, an American cinematographer renowned for his work in classic Hollywood films.
-
E.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
- 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: Heydler Triple: [John Heydler, familyName, Heydler]
Generated description
Heydler is a surname most notably associated with John Heydler, an early 20th-century president of the National League in Major League Baseball.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heydler Target entity description: Heydler is a surname most notably associated with John Heydler, an early 20th-century president of the National League in Major League Baseball.
-
A.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
-
B.
Eberl
Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
-
C.
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
-
D.
Haller
Haller is a surname most notably associated with Ernest Haller, an American cinematographer renowned for his work in classic Hollywood films.
-
E.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7475be3c819085cde8ec544c407e |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea497fed0819098746fd8917f041c |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea5163c78819086d2424ee7b57890 |
completed | March 21, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea577f4b0819084d579e4d4804947 |
completed | March 21, 2026, 2:04 p.m. |
Created at: March 20, 2026, 1:38 p.m.