Triple
T1449480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob |
E31255
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Robb
Robb is a given name, typically a variant of the name Rob or Robert, used as a masculine first name or surname.
|
E165538
|
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: Robb | Statement: [Rob, hasVariant, Robb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robb Context triple: [Rob, hasVariant, Robb]
-
A.
Meter Theon
Meter Theon is an ancient Greek mother goddess associated with the earth and often identified with deities such as Rhea or Cybele, venerated in sanctuaries like the Metroon at Olympia.
-
B.
Lord Reading
Lord Reading was a British statesman and jurist who served as Viceroy of India in the early 1920s, having previously been Lord Chief Justice of England and a prominent Liberal politician.
-
C.
Ned
Ned is a common English diminutive form of the given name Edward.
-
D.
Aegon
Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
-
E.
Lord Mance
Lord Mance is a British jurist who served as a Justice of the Supreme Court of the United Kingdom and is known for his significant contributions to UK and international law.
- 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: Robb Triple: [Rob, hasVariant, Robb]
Generated description
Robb is a given name, typically a variant of the name Rob or Robert, used as a masculine first name or surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robb Target entity description: Robb is a given name, typically a variant of the name Rob or Robert, used as a masculine first name or surname.
-
A.
Meter Theon
Meter Theon is an ancient Greek mother goddess associated with the earth and often identified with deities such as Rhea or Cybele, venerated in sanctuaries like the Metroon at Olympia.
-
B.
Lord Reading
Lord Reading was a British statesman and jurist who served as Viceroy of India in the early 1920s, having previously been Lord Chief Justice of England and a prominent Liberal politician.
-
C.
Ned
Ned is a common English diminutive form of the given name Edward.
-
D.
Aegon
Aegon is a multinational life insurance, pensions, and asset management company headquartered in the Netherlands.
-
E.
Lord Mance
Lord Mance is a British jurist who served as a Justice of the Supreme Court of the United Kingdom and is known for his significant contributions to UK and international law.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55c408c8190917ed44d9070a2fb |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08c4c940819091d15c4d2ffa6b1c |
completed | March 8, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69ad09d0c4d88190b5f79a92821ef577 |
completed | March 8, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0a5eeac08190a4d13f4819fc1aba |
completed | March 8, 2026, 5:34 a.m. |
Created at: March 1, 2026, 8 p.m.