Triple
T10908994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Mulcahy |
E257643
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Anne
Anne is a feminine given name of Hebrew origin, commonly used in English-speaking countries and often associated with grace and favor.
|
E267026
|
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: Anne | Statement: [Anne Mulcahy, givenName, Anne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Context triple: [Anne Mulcahy, givenName, Anne]
-
A.
Anne
Anne is traditionally revered in Christian tradition as the mother of the Virgin Mary and the grandmother of Jesus.
-
B.
Anne
Anne was the Queen of Great Britain and Ireland from 1702 to 1714, the last monarch of the House of Stuart.
-
C.
Anne
Anne is one of the central child protagonists in Enid Blyton’s Famous Five adventure series, known for her kindness, domestic sense, and cautious nature.
-
D.
Anne
Anne is one of the child protagonists in Enid Blyton’s Famous Five series, known for her cautious nature and love of home comforts during the group’s adventures.
-
E.
Anne
Anne is one of the central child protagonists in Enid Blyton’s Famous Five series, known for her kindness, domestic sense, and participation in the group’s adventurous mysteries.
- 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: Anne Triple: [Anne Mulcahy, givenName, Anne]
Generated description
Anne is a feminine given name of Hebrew origin, commonly used in English-speaking countries and often associated with grace and favor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Target entity description: Anne is a feminine given name of Hebrew origin, commonly used in English-speaking countries and often associated with grace and favor.
-
A.
Anne
chosen
Anne is a female given name of Hebrew origin, commonly used in many European languages and historically borne by numerous queens, saints, and notable women.
-
B.
Anne
Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
-
C.
Anne
Anne is traditionally revered in Christian tradition as the mother of the Virgin Mary and the grandmother of Jesus.
-
D.
Anne
Anne is the birth name of Nancy Reagan, the former First Lady of the United States and wife of President Ronald Reagan.
-
E.
Anne
Anne is one of the central child protagonists in Enid Blyton’s Famous Five adventure series, known for her kindness, domestic sense, and cautious nature.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706824d08190ba894d144cc6b3ba |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154a582188190af96ae0d5cc08dc4 |
completed | April 16, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69e1739ed9b88190949125759f42efd2 |
completed | April 16, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e175ecef0c8190b08052d751f1a608 |
completed | April 16, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:22 p.m.