Triple
T8967260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enid A. Haupt |
E214169
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Haupt
Haupt is the surname of Enid A. Haupt, an American publisher and philanthropist known for her major contributions to horticulture and the arts.
|
E769917
|
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: Haupt | Statement: [Enid A. Haupt, hasFamilyName, Haupt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haupt Context triple: [Enid A. Haupt, hasFamilyName, Haupt]
-
A.
Mauch
Mauch is a surname most notably borne by Corine Mauch, the long-serving mayor of Zurich, Switzerland.
-
B.
Haditch
Haditch is a village in Ukraine best known as the burial site and pilgrimage destination associated with Rabbi Shneur Zalman of Liadi, the founder of Chabad Hasidism.
-
C.
Hein
Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
-
D.
Godehart
Godehart is a German given name, serving as a variant form of the name Gotthard.
-
E.
Hibler
Hibler is a surname most notably associated with Winston Hibler, an American screenwriter, producer, and narrator known for his work on Walt Disney nature documentaries and animated films.
- 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: Haupt Triple: [Enid A. Haupt, hasFamilyName, Haupt]
Generated description
Haupt is the surname of Enid A. Haupt, an American publisher and philanthropist known for her major contributions to horticulture and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haupt Target entity description: Haupt is the surname of Enid A. Haupt, an American publisher and philanthropist known for her major contributions to horticulture and the arts.
-
A.
Mauch
Mauch is a surname most notably borne by Corine Mauch, the long-serving mayor of Zurich, Switzerland.
-
B.
Haditch
Haditch is a village in Ukraine best known as the burial site and pilgrimage destination associated with Rabbi Shneur Zalman of Liadi, the founder of Chabad Hasidism.
-
C.
Hein
Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
-
D.
Godehart
Godehart is a German given name, serving as a variant form of the name Gotthard.
-
E.
Hibler
Hibler is a surname most notably associated with Winston Hibler, an American screenwriter, producer, and narrator known for his work on Walt Disney nature documentaries and animated films.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc676389948190aa78fdf6a5ae74a5 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc95879c08190b0091548c8c00207 |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfcb42e6ec8190b126163bf4472986 |
completed | April 3, 2026, 2:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcbba82e88190b40e9721c835fff0 |
completed | April 3, 2026, 2:16 p.m. |
Created at: March 30, 2026, 7:01 p.m.