Triple
T910383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard |
E19643
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Dick
Dick is a common English diminutive form of the given name Richard, traditionally used as a familiar or informal nickname.
|
E75078
|
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: Dick | Statement: [Richard, hasDiminutive, Dick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dick Context triple: [Richard, hasDiminutive, Dick]
-
A.
Danny
Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
-
B.
Dash
Dash is a lightweight, POSIX-compliant Unix shell designed for fast script execution and minimal resource usage, commonly used as the default /bin/sh on some Linux systems.
-
C.
Dash
Dash is an open-source Python framework for building interactive, web-based data visualization dashboards, particularly suited for analytical and scientific applications.
-
D.
Don
Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
-
E.
Don
The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
- 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: Dick Triple: [Richard, hasDiminutive, Dick]
Generated description
Dick is a common English diminutive form of the given name Richard, traditionally used as a familiar or informal nickname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dick Target entity description: Dick is a common English diminutive form of the given name Richard, traditionally used as a familiar or informal nickname.
-
A.
Danny
Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
-
B.
Dash
Dash is a lightweight, POSIX-compliant Unix shell designed for fast script execution and minimal resource usage, commonly used as the default /bin/sh on some Linux systems.
-
C.
Dash
Dash is an open-source Python framework for building interactive, web-based data visualization dashboards, particularly suited for analytical and scientific applications.
-
D.
Don
chosen
Don is a masculine given name, often a short form of Donald, used in English-speaking countries.
-
E.
Don
The Don is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov, historically serving as an important trade route and cultural boundary.
- F. None of above.
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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2dca5208190bc9f17cd9dd6a98f |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3b9b7eb88190b7fa4f9dbcc73d64 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3c5009a4819096a0473589235f4f |
completed | March 7, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3caa8ca88190994c7158d0e91f87 |
completed | March 7, 2026, 2:56 p.m. |
Created at: March 1, 2026, 7:39 p.m.