Triple
T9397739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | László |
E226387
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object |
Laci
Laci is a common Hungarian diminutive form of the male given name László.
|
E796906
|
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: Laci | Statement: [László, hasShortForm, Laci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laci Context triple: [László, hasShortForm, Laci]
-
A.
Lucia Chase
Lucia Chase was an influential American dancer, actress, and arts patron best known for co-founding and long directing the American Ballet Theatre, helping to establish it as a leading classical ballet company.
-
B.
Karla
Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
-
C.
Karla
Karla is a villainous mastermind character who serves as the primary antagonist opposing the bumbling spy Johnny English in the comedy film series.
-
D.
Lori
Lori is a feminine given name commonly used in English-speaking countries, often as a diminutive of Laura or Lorraine.
-
E.
Licia
Licia is a shortened or diminutive form of the given name Felicia.
- 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: Laci Triple: [László, hasShortForm, Laci]
Generated description
Laci is a common Hungarian diminutive form of the male given name László.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laci Target entity description: Laci is a common Hungarian diminutive form of the male given name László.
-
A.
Lucia Chase
Lucia Chase was an influential American dancer, actress, and arts patron best known for co-founding and long directing the American Ballet Theatre, helping to establish it as a leading classical ballet company.
-
B.
Karla
Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
-
C.
Karla
Karla is a villainous mastermind character who serves as the primary antagonist opposing the bumbling spy Johnny English in the comedy film series.
-
D.
Lori
Lori is a feminine given name commonly used in English-speaking countries, often as a diminutive of Laura or Lorraine.
-
E.
Licia
Licia is a shortened or diminutive form of the given name Felicia.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51541020819097da2eb60be73760 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1011aef64819085cbb7e04c2d87b2 |
completed | April 4, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69d1054d18ec8190b88dc95f785a370a |
completed | April 4, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d105b7570481909f90b7588e210667 |
completed | April 4, 2026, 12:36 p.m. |
Created at: March 30, 2026, 7:46 p.m.