Triple
T16523279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hospitality of Abraham mosaic |
E401372
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Sarah
Sarah is a prominent biblical matriarch, wife of Abraham and mother of Isaac, revered in Jewish, Christian, and Islamic traditions.
|
E34678
|
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: Sarah | Statement: [Hospitality of Abraham mosaic, featuresCharacter, Sarah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Context triple: [Hospitality of Abraham mosaic, featuresCharacter, Sarah]
-
A.
Sarah
Sarah is the central protagonist of the story "Horse Girl," around whom the main narrative and character development revolve.
-
B.
Sarah
Sarah is a person whose full name is Sarah Catherine McPherson Risher Getty.
-
C.
Sarah
Sarah is the given name of Sarah P. Duke, the philanthropist and namesake of Duke University's Sarah P. Duke Gardens.
-
D.
Sarah
Sarah is the given name of the renowned 19th- and early 20th-century French stage actress Sarah Bernhardt, often called "the Divine Sarah."
-
E.
Sarah
Sarah Onyango Obama was the Kenyan educator and philanthropist best known as the step-grandmother of former U.S. President Barack Obama.
- 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: Sarah Triple: [Hospitality of Abraham mosaic, featuresCharacter, Sarah]
Generated description
Sarah is a prominent biblical matriarch, wife of Abraham and mother of Isaac, revered in Jewish, Christian, and Islamic traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Target entity description: Sarah is a prominent biblical matriarch, wife of Abraham and mother of Isaac, revered in Jewish, Christian, and Islamic traditions.
-
A.
Sarah
chosen
Sarah is a key matriarch in the Hebrew Bible, revered as the wife of Abraham and mother of Isaac in the Jewish, Christian, and Islamic traditions.
-
B.
Sarah
Sarah is the given name of Sarah Moore Grimké, a prominent 19th-century American abolitionist, women's rights advocate, and writer.
-
C.
Sarah
Sarah is the given name of Sarah Breedlove, better known as Madam C. J. Walker, a pioneering African American entrepreneur and philanthropist in the early 20th century.
-
D.
Sarah
Sarah is a female given name of Hebrew origin, commonly used in English-speaking countries and traditionally meaning "princess."
-
E.
Sarah
Sarah is the given name of Sarah Josepha Hale, a 19th-century American writer and influential editor often credited with helping establish Thanksgiving as a national holiday in the United States.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed2622c8190b6429a49ca92284a |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a7616c8190af486bef3331e115 |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a006914e0588190afdd0e7c2719696f |
completed | May 10, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00696d42e081908133fdbee4a301d8 |
completed | May 10, 2026, 11:18 a.m. |
Created at: April 10, 2026, 5:14 a.m.