Triple
T2727362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinand |
E60224
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Nando
Nando is a diminutive form of the given name Ferdinand, commonly used as a familiar or affectionate nickname.
|
E292538
|
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: Nando | Statement: [Ferdinand, hasDiminutive, Nando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nando Context triple: [Ferdinand, hasDiminutive, Nando]
-
A.
Palmers
Palmers is the plural form of the surname or term "Palmer," typically referring to multiple people or entities bearing that name.
-
B.
Brinker
Brinker is the surname of Nancy Goodman Brinker, the American businesswoman and philanthropist who founded the Susan G. Komen breast cancer organization.
-
C.
White Castle
White Castle is a medieval stone fortress in Monmouthshire, Wales, notable for its well-preserved defensive earthworks and role in the border defenses of the Welsh Marches.
-
D.
Chick-fil-A
Chick-fil-A is a major American fast-food restaurant chain best known for its chicken sandwiches and strong presence in the Southern United States.
-
E.
Tuncurry
Tuncurry is a coastal town in New South Wales, Australia, known for its beaches, lakes, and close connection to the twin town of Forster.
- 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: Nando Triple: [Ferdinand, hasDiminutive, Nando]
Generated description
Nando is a diminutive form of the given name Ferdinand, commonly used as a familiar or affectionate nickname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nando Target entity description: Nando is a diminutive form of the given name Ferdinand, commonly used as a familiar or affectionate nickname.
-
A.
Palmers
Palmers is the plural form of the surname or term "Palmer," typically referring to multiple people or entities bearing that name.
-
B.
Brinker
Brinker is the surname of Nancy Goodman Brinker, the American businesswoman and philanthropist who founded the Susan G. Komen breast cancer organization.
-
C.
White Castle
White Castle is a medieval stone fortress in Monmouthshire, Wales, notable for its well-preserved defensive earthworks and role in the border defenses of the Welsh Marches.
-
D.
Chick-fil-A
Chick-fil-A is a major American fast-food restaurant chain best known for its chicken sandwiches and strong presence in the Southern United States.
-
E.
Tuncurry
Tuncurry is a coastal town in New South Wales, Australia, known for its beaches, lakes, and close connection to the twin town of Forster.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdacffa6481909df37335e8fdd595 |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6982974819089d0ef4a59cc4085 |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb7166d788190ac219fe3c3e164fe |
completed | March 10, 2026, 6:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7acf3588190813bde4428dfe5f4 |
completed | March 10, 2026, 6:18 a.m. |
Created at: March 6, 2026, 9:56 p.m.