Triple
T8637848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McComb Jr. |
E204566
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
John McComb Sr.
John McComb Sr. was an 18th-century Scottish-born American architect and builder known for his influential work in early New York City.
|
E204566
|
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: John McComb Sr. | Statement: [John McComb Jr., father, John McComb Sr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John McComb Sr. Context triple: [John McComb Jr., father, John McComb Sr.]
-
A.
John McComb Jr.
John McComb Jr. was a prominent early American architect best known for designing significant Federal-style public buildings in New York City.
-
B.
Luther Hicks
Luther Hicks is an individual notable enough to be recognized as a distinct namesake of the surname Hicks.
-
C.
R. Dale Butts
R. Dale Butts was an American film composer and arranger known for scoring numerous mid-20th-century Westerns and adventure films.
-
D.
Hal Slocumb
Hal Slocumb is the sympathetic Arkansas detective in the film "Thelma & Louise" who persistently tries to help and protect the two runaway women.
-
E.
Fred C. Dobbs
Fred C. Dobbs is the desperate, increasingly paranoid prospector at the center of the 1948 film "The Treasure of the Sierra Madre."
- 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: John McComb Sr. Triple: [John McComb Jr., father, John McComb Sr.]
Generated description
John McComb Sr. was an 18th-century Scottish-born American architect and builder known for his influential work in early New York City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John McComb Sr. Target entity description: John McComb Sr. was an 18th-century Scottish-born American architect and builder known for his influential work in early New York City.
-
A.
John McComb Jr.
chosen
John McComb Jr. was a prominent early American architect best known for designing significant Federal-style public buildings in New York City.
-
B.
Luther Hicks
Luther Hicks is an individual notable enough to be recognized as a distinct namesake of the surname Hicks.
-
C.
R. Dale Butts
R. Dale Butts was an American film composer and arranger known for scoring numerous mid-20th-century Westerns and adventure films.
-
D.
Hal Slocumb
Hal Slocumb is the sympathetic Arkansas detective in the film "Thelma & Louise" who persistently tries to help and protect the two runaway women.
-
E.
Fred C. Dobbs
Fred C. Dobbs is the desperate, increasingly paranoid prospector at the center of the 1948 film "The Treasure of the Sierra Madre."
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4763b6dc81908de979e6d8158bd9 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc2c2b84819087a9f23b47c607e8 |
completed | April 2, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_69cebd4633f08190971d5d67e5a7496a |
completed | April 2, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebe12fa94819099e37ed9e5cd83b7 |
completed | April 2, 2026, 7:05 p.m. |
Created at: March 30, 2026, 6:28 p.m.