Triple
T18476514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Dillon |
E451446
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Elizabeth Mathew
Elizabeth Mathew is known primarily as the wife of Irish political leader and agrarian reformer John Dillon.
|
E1343692
|
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: Elizabeth Mathew | Statement: [John Dillon, spouse, Elizabeth Mathew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Mathew Context triple: [John Dillon, spouse, Elizabeth Mathew]
-
A.
Sarah Matthews
Sarah Matthews is the protagonist of the film "Made in America," around whom the story’s central family and identity themes revolve.
-
B.
Sarah Matthews
Sarah Matthews is an American communications professional and former White House deputy press secretary who served in the Trump administration and later testified before the U.S. House committee investigating the January 6 Capitol attack.
-
C.
Rachel Matthews
Rachel Matthews is an American actress best known for her voice role in Disney's animated film Frozen II.
-
D.
Elizabeth Maddern
Elizabeth Maddern was the first wife of American writer Jack London (born John Griffith Chaney), married to him before his rise to literary fame.
-
E.
Elizabeth Saxon
Elizabeth Saxon was an American suffragist and women's rights advocate active in the late 19th and early 20th centuries.
- 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: Elizabeth Mathew Triple: [John Dillon, spouse, Elizabeth Mathew]
Generated description
Elizabeth Mathew is known primarily as the wife of Irish political leader and agrarian reformer John Dillon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Mathew Target entity description: Elizabeth Mathew is known primarily as the wife of Irish political leader and agrarian reformer John Dillon.
-
A.
Sarah Matthews
Sarah Matthews is the protagonist of the film "Made in America," around whom the story’s central family and identity themes revolve.
-
B.
Sarah Matthews
Sarah Matthews is an American communications professional and former White House deputy press secretary who served in the Trump administration and later testified before the U.S. House committee investigating the January 6 Capitol attack.
-
C.
Rachel Matthews
Rachel Matthews is an American actress best known for her voice role in Disney's animated film Frozen II.
-
D.
Elizabeth Maddern
Elizabeth Maddern was the first wife of American writer Jack London (born John Griffith Chaney), married to him before his rise to literary fame.
-
E.
Elizabeth Saxon
Elizabeth Saxon was an American suffragist and women's rights advocate active in the late 19th and early 20th centuries.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53063c0108190be71247567b5241b |
completed | April 19, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055ba910448190a366b510ca9783d3 |
completed | May 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_6a055d0ae0bc81908490b1d8d02ba59d |
completed | May 14, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a055dab68808190b06832dbcd7f0904 |
completed | May 14, 2026, 5:29 a.m. |
Created at: April 10, 2026, 11:35 a.m.