Triple
T5282024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirley Chisholm |
E119520
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Chisholm
Chisholm is a surname most famously associated with Shirley Chisholm, the pioneering American politician and first Black woman elected to the United States Congress.
|
E99044
|
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: Chisholm | Statement: [Shirley Chisholm, familyName, Chisholm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chisholm Context triple: [Shirley Chisholm, familyName, Chisholm]
-
A.
Chisholm
Chisholm is a residential suburb located in the Maitland region of New South Wales, Australia.
-
B.
Paxton
Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
-
C.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
-
D.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
E.
Lamont
Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
- 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: Chisholm Triple: [Shirley Chisholm, familyName, Chisholm]
Generated description
Chisholm is a surname most famously associated with Shirley Chisholm, the pioneering American politician and first Black woman elected to the United States Congress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chisholm Target entity description: Chisholm is a surname most famously associated with Shirley Chisholm, the pioneering American politician and first Black woman elected to the United States Congress.
-
A.
Chisholm
chosen
Chisholm is a residential suburb located in the Maitland region of New South Wales, Australia.
-
B.
Paxton
Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
-
C.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
-
D.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
E.
Lamont
Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c69780819097a1ea9385e11077 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06e27b5081908b755a817d4c260a |
completed | March 21, 2026, 9 p.m. |
| NEDg | Description generation | batch_69bf08bf26448190bd3a3f632ea79d85 |
completed | March 21, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf091f09f88190aa382387e6b94662 |
completed | March 21, 2026, 9:09 p.m. |
Created at: March 20, 2026, 1:52 p.m.