Triple
T8060388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D. Richard Hipp |
E188104
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hipp
Hipp is the surname of D. Richard Hipp, an American computer programmer best known as the creator of the SQLite database engine.
|
E707259
|
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: Hipp | Statement: [D. Richard Hipp, familyName, Hipp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hipp Context triple: [D. Richard Hipp, familyName, Hipp]
-
A.
Hippocoon
Hippocoon is a figure in Greek mythology, a Spartan prince who usurped the throne of Sparta and was later overthrown by Heracles.
-
B.
Hap
Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
-
C.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
D.
Hapi
Hapi is a rich, configuration-centric Node.js web framework designed for building scalable, modular server-side applications and APIs.
-
E.
Hop
Hop is a regional contactless transit fare system used for paying fares across multiple public transportation agencies in the Portland–Vancouver metropolitan area.
- 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: Hipp Triple: [D. Richard Hipp, familyName, Hipp]
Generated description
Hipp is the surname of D. Richard Hipp, an American computer programmer best known as the creator of the SQLite database engine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hipp Target entity description: Hipp is the surname of D. Richard Hipp, an American computer programmer best known as the creator of the SQLite database engine.
-
A.
Hippocoon
Hippocoon is a figure in Greek mythology, a Spartan prince who usurped the throne of Sparta and was later overthrown by Heracles.
-
B.
Hap
Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
-
C.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
D.
Hapi
Hapi is a rich, configuration-centric Node.js web framework designed for building scalable, modular server-side applications and APIs.
-
E.
Hop
Hop is a regional contactless transit fare system used for paying fares across multiple public transportation agencies in the Portland–Vancouver metropolitan area.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fcaa8b8819099267564b6542547 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc572c81508190b6ed39993d0d2aae |
completed | March 31, 2026, 11:22 p.m. |
| NEDg | Description generation | batch_69cc58ae255c8190a6a2d2f335c6cc3f |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cd36a108190a4aeff02358875f1 |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:26 p.m.