Triple
T3401740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana |
E71669
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Di
Di is a common shortened form of the given name Diana, often used as an affectionate nickname.
|
E356031
|
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: Di | Statement: [Diana, hasDiminutive, Di]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Di Context triple: [Diana, hasDiminutive, Di]
-
A.
DI
DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
-
B.
DiDi
DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
-
C.
DiDi
DiDi is an American professional basketball player known for her defensive prowess and collegiate success with the Baylor Lady Bears.
-
D.
It
It is a 1986 horror novel by Stephen King about a shape-shifting entity that terrorizes children in the town of Derry, Maine.
-
E.
De
De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
- 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: Di Triple: [Diana, hasDiminutive, Di]
Generated description
Di is a common shortened form of the given name Diana, often used as an affectionate nickname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Di Target entity description: Di is a common shortened form of the given name Diana, often used as an affectionate nickname.
-
A.
DI
DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
-
B.
DiDi
DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
-
C.
DiDi
DiDi is an American professional basketball player known for her defensive prowess and collegiate success with the Baylor Lady Bears.
-
D.
It
It is a 1986 horror novel by Stephen King about a shape-shifting entity that terrorizes children in the town of Derry, Maine.
-
E.
De
De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c96d7c8190a1f9d035996f79e3 |
completed | March 8, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd2f8a481908554635ed59c8939 |
completed | March 12, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69b34e4792608190b74e02e065d4bc68 |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3525f44948190af72b177193edca4 |
completed | March 12, 2026, 11:55 p.m. |
Created at: March 8, 2026, 3:14 p.m.