Triple
T5419730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Little |
E121216
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Mary Little
Mary Little is a family member of Earl Little, known primarily through her relation to him.
|
E610892
|
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: Mary Little | Statement: [Earl Little, relative, Mary Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Little Context triple: [Earl Little, relative, Mary Little]
-
A.
Mary Matthews
Mary Matthews is the idealistic socialite protagonist of the 1945 political drama film "State of the Union," who becomes entangled in her husband's bid for the U.S. presidency.
-
B.
Mary McBride Smith
Mary McBride Smith was the wife of renowned American film director John Ford.
-
C.
Jane Wills Pitts
Jane Wills Pitts was the mother of Helen Pitts Douglass, the white suffragist and second wife of abolitionist Frederick Douglass.
-
D.
Mary Louise Wilson
Mary Louise Wilson is an American actress and comedian known for her work on stage, film, and television, including a Tony Award-winning performance in the Broadway musical "Grey Gardens."
-
E.
Joan Washington
Joan Washington was a respected British dialect coach known for her extensive work in film, television, and theatre, as well as her long marriage to actor Richard E. Grant.
- 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: Mary Little Triple: [Earl Little, relative, Mary Little]
Generated description
Mary Little is a family member of Earl Little, known primarily through her relation to him.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Little Target entity description: Mary Little is a family member of Earl Little, known primarily through her relation to him.
-
A.
Mary Matthews
Mary Matthews is the idealistic socialite protagonist of the 1945 political drama film "State of the Union," who becomes entangled in her husband's bid for the U.S. presidency.
-
B.
Mary McBride Smith
Mary McBride Smith was the wife of renowned American film director John Ford.
-
C.
Jane Wills Pitts
Jane Wills Pitts was the mother of Helen Pitts Douglass, the white suffragist and second wife of abolitionist Frederick Douglass.
-
D.
Mary Louise Wilson
Mary Louise Wilson is an American actress and comedian known for her work on stage, film, and television, including a Tony Award-winning performance in the Broadway musical "Grey Gardens."
-
E.
Joan Washington
Joan Washington was a respected British dialect coach known for her extensive work in film, television, and theatre, as well as her long marriage to actor Richard E. Grant.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e8f1cc81908b997f8a417697c0 |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f77397f48190aeeef1b389e7f2df |
completed | March 27, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69c6f8946b2c8190b18edff8523cf565 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f96c215081909e9d7a6e0a811f18 |
completed | March 27, 2026, 9:41 p.m. |
Created at: March 20, 2026, 2:05 p.m.