Triple
T11074008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cepheid |
E261817
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
H. Ward Wolff
H. Ward Wolff is an entrepreneur best known as a co-founder of the medical diagnostics company Cepheid.
|
E915836
|
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: H. Ward Wolff | Statement: [Cepheid, foundedBy, H. Ward Wolff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H. Ward Wolff Context triple: [Cepheid, foundedBy, H. Ward Wolff]
-
A.
Fred M. Wilcox
Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
-
B.
E. B. Shelfer
E. B. Shelfer was a local figure of sufficient prominence or influence to have the historic E. B. Shelfer House named in his honor.
-
C.
Robert L. Wolfe
Robert L. Wolfe was a film editor best known for his work on the political thriller "All the President’s Men."
-
D.
Harold Huth
Harold Huth was a British film director, producer, and occasional actor active in the mid-20th century, known for his work in the British studio system.
-
E.
Alfred L. Werker
Alfred L. Werker was an American film director active from the silent era through the 1950s, known for directing crime dramas, mysteries, and studio features in Hollywood.
- 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: H. Ward Wolff Triple: [Cepheid, foundedBy, H. Ward Wolff]
Generated description
H. Ward Wolff is an entrepreneur best known as a co-founder of the medical diagnostics company Cepheid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: H. Ward Wolff Target entity description: H. Ward Wolff is an entrepreneur best known as a co-founder of the medical diagnostics company Cepheid.
-
A.
Fred M. Wilcox
Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
-
B.
E. B. Shelfer
E. B. Shelfer was a local figure of sufficient prominence or influence to have the historic E. B. Shelfer House named in his honor.
-
C.
Robert L. Wolfe
Robert L. Wolfe was a film editor best known for his work on the political thriller "All the President’s Men."
-
D.
Harold Huth
Harold Huth was a British film director, producer, and occasional actor active in the mid-20th century, known for his work in the British studio system.
-
E.
Alfred L. Werker
Alfred L. Werker was an American film director active from the silent era through the 1950s, known for directing crime dramas, mysteries, and studio features in Hollywood.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994e32fc8190a6591d9e82b68f75 |
completed | April 9, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f3768c0081908d209b854dd08dd2 |
completed | April 19, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69e4f9596e1081908e7b319f77453438 |
completed | April 19, 2026, 3:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff4645948190a2bfcc3a4efd8e2a |
completed | April 19, 2026, 4:13 p.m. |
Created at: April 8, 2026, 9:26 p.m.