Triple
T14952798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Harrison |
E372839
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Symmes
Symmes is the maiden surname of Anna Harrison, the wife of U.S. President William Henry Harrison and First Lady of the United States in 1841.
|
E1129201
|
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: Symmes | Statement: [Anna Harrison, familyName, Symmes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symmes Context triple: [Anna Harrison, familyName, Symmes]
-
A.
Isham
Isham is a surname of English origin borne by various notable individuals, including American trumpeter and film composer Mark Isham.
-
B.
De Witt
De Witt is a Dutch surname most famously associated with Johan de Witt, a prominent 17th-century statesman of the Dutch Republic.
-
C.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
-
D.
Tallmadge
Tallmadge is a small city in northeastern Ohio known for its historic town square and role as a suburb within the Akron metropolitan area.
-
E.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
- 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: Symmes Triple: [Anna Harrison, familyName, Symmes]
Generated description
Symmes is the maiden surname of Anna Harrison, the wife of U.S. President William Henry Harrison and First Lady of the United States in 1841.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Symmes Target entity description: Symmes is the maiden surname of Anna Harrison, the wife of U.S. President William Henry Harrison and First Lady of the United States in 1841.
-
A.
Isham
Isham is a surname of English origin borne by various notable individuals, including American trumpeter and film composer Mark Isham.
-
B.
De Witt
De Witt is a Dutch surname most famously associated with Johan de Witt, a prominent 17th-century statesman of the Dutch Republic.
-
C.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
-
D.
Tallmadge
Tallmadge is a small city in northeastern Ohio known for its historic town square and role as a suburb within the Akron metropolitan area.
-
E.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9a6098819087b6e81bebcf6805 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe83fdef58819098cda8cca0d810dd |
completed | May 9, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8518121c8190b6ffcc14ec5ac8ea |
completed | May 9, 2026, 12:51 a.m. |
Created at: April 10, 2026, 2:39 a.m.