Triple
T14902550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hendrika |
E360042
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object |
Henny
Henny is a diminutive or short form of the Dutch given name Hendrika, commonly used as a familiar or informal version of the name.
|
E1126665
|
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: Henny | Statement: [Hendrika, hasShortForm, Henny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henny Context triple: [Hendrika, hasShortForm, Henny]
-
A.
Melva
Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
-
B.
Hennen
Hennen is a district of the German city of Iserlohn, located in the state of North Rhine-Westphalia.
-
C.
Harvie
Harvie is a given name and surname, typically a variant of Harvey, used in English-speaking countries.
-
D.
Milk Marie
"Milk Marie" is a hip-hop track by the rap collective Rich Gang, known for its melodic hook and luxurious, hedonistic themes.
-
E.
Alma Pudden
Alma Pudden is a fictional schoolgirl character from Enid Blyton’s "St. Clare’s" series, known for attending the boarding school of the same name.
- 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: Henny Triple: [Hendrika, hasShortForm, Henny]
Generated description
Henny is a diminutive or short form of the Dutch given name Hendrika, commonly used as a familiar or informal version of the name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henny Target entity description: Henny is a diminutive or short form of the Dutch given name Hendrika, commonly used as a familiar or informal version of the name.
-
A.
Melva
Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
-
B.
Hennen
Hennen is a district of the German city of Iserlohn, located in the state of North Rhine-Westphalia.
-
C.
Harvie
Harvie is a given name and surname, typically a variant of Harvey, used in English-speaking countries.
-
D.
Milk Marie
"Milk Marie" is a hip-hop track by the rap collective Rich Gang, known for its melodic hook and luxurious, hedonistic themes.
-
E.
Alma Pudden
Alma Pudden is a fictional schoolgirl character from Enid Blyton’s "St. Clare’s" series, known for attending the boarding school of the same name.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60b24008190bd272c0d61329400 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b4e4f88190af7e859d93dbbd28 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7360c11481908e2e5127b466e31b |
completed | May 8, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe743c37308190a045ef5f0ade8508 |
completed | May 8, 2026, 11:39 p.m. |
Created at: April 10, 2026, 2:11 a.m.