Triple
T10796316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Ruth Howard |
E254715
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object |
Ruth
Ruth is the middle name of Leslie Ruth Howard, an individual likely known in relation to the Howard family.
|
E887978
|
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: Ruth | Statement: [Leslie Ruth Howard, hasMiddleName, Ruth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Context triple: [Leslie Ruth Howard, hasMiddleName, Ruth]
-
A.
Ruth
Ruth is a book of the Hebrew Bible/Old Testament that tells the story of a Moabite woman whose loyalty and faith lead to her becoming an ancestor of King David.
-
B.
Ruth
Ruth is the surname of Babe Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
-
C.
Ruth
Ruth is a central female character in Herman Melville’s epic poem "Clarel," embodying themes of faith, love, and spiritual conflict.
-
D.
Ruth
Ruth is a character in Alan Ayckbourn's comedic play trilogy "The Norman Conquests," known for its interlinked domestic farce and intricate relationship dynamics.
-
E.
Ruth
Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
- 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: Ruth Triple: [Leslie Ruth Howard, hasMiddleName, Ruth]
Generated description
Ruth is the middle name of Leslie Ruth Howard, an individual likely known in relation to the Howard family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruth Target entity description: Ruth is the middle name of Leslie Ruth Howard, an individual likely known in relation to the Howard family.
-
A.
Ruth
Ruth is the surname of Babe Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
-
B.
Ruth
Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
-
C.
Ruth
Ruth is a feminine given name of Hebrew origin meaning "friend" or "companion," widely used in English-speaking countries.
-
D.
Ruth
Ruth is a book of the Hebrew Bible/Old Testament that tells the story of a Moabite woman whose loyalty and faith lead to her becoming an ancestor of King David.
-
E.
Ruth
Ruth is a central female character in Herman Melville’s epic poem "Clarel," embodying themes of faith, love, and spiritual conflict.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73332dbfc8190904434846957b618 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84f1fdfc8190a31a13ae434e56c1 |
completed | April 14, 2026, 6:18 p.m. |
| NEDg | Description generation | batch_69de8e6f3fac8190bcd1675978d6d6d7 |
completed | April 14, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8fa679cc81909cb51035e5403ce9 |
completed | April 14, 2026, 7:04 p.m. |
Created at: April 8, 2026, 9:17 p.m.