Triple
T2796043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew McCollum |
E53038
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
McCollum
McCollum is a surname of Scottish origin borne by various notable individuals across fields such as technology, sports, and politics.
|
E298680
|
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: McCollum | Statement: [Andrew McCollum, familyName, McCollum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCollum Context triple: [Andrew McCollum, familyName, McCollum]
-
A.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
B.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
C.
Gossett
Gossett is the surname of Louis Gossett Jr., the acclaimed American actor known for his roles in "An Officer and a Gentleman" and "Roots."
-
D.
Shaughnessy
Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
-
E.
Moorehead
Moorehead is the surname of American actress Agnes Moorehead, renowned for her work in film, radio, and television, including her iconic role as Endora on the TV series "Bewitched."
- 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: McCollum Triple: [Andrew McCollum, familyName, McCollum]
Generated description
McCollum is a surname of Scottish origin borne by various notable individuals across fields such as technology, sports, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: McCollum Target entity description: McCollum is a surname of Scottish origin borne by various notable individuals across fields such as technology, sports, and politics.
-
A.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
B.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
C.
Gossett
Gossett is the surname of Louis Gossett Jr., the acclaimed American actor known for his roles in "An Officer and a Gentleman" and "Roots."
-
D.
Shaughnessy
Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
-
E.
Moorehead
Moorehead is the surname of American actress Agnes Moorehead, renowned for her work in film, radio, and television, including her iconic role as Endora on the TV series "Bewitched."
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddef754081908e6218dc2208e0fd |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6646c2c81908157d8f03cb8376d |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc70a4e008190a846d23e1aa73bb1 |
completed | March 10, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc7907be88190b70458ed735261e8 |
completed | March 10, 2026, 7:26 a.m. |
Created at: March 6, 2026, 9:58 p.m.