Triple
T14861325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Fox |
E349498
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Terrance
Terrance is the given first name of Terry Fox, the Canadian athlete and cancer research activist renowned for his Marathon of Hope.
|
E1123675
|
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: Terrance | Statement: [Terry Fox, givenName, Terrance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrance Context triple: [Terry Fox, givenName, Terrance]
-
A.
Terrance
Terrance is the given name of Terrance Dicks, a British writer best known for his work on the television series Doctor Who and its novelizations.
-
B.
Terrance
Terrance is the given first name of Terry Sawchuk, the legendary Canadian Hall of Fame NHL goaltender.
-
C.
Terance
Terance is the first name of Terance Mann, an American professional basketball player in the NBA.
-
D.
Tarell
Tarell is a masculine given name most notably borne by American playwright and screenwriter Tarell Alvin McCraney.
-
E.
Terrance Jamar Graham
Terrance Jamar Graham is an American man whose juvenile non-homicide life sentence led to the landmark U.S. Supreme Court decision in Graham v. Florida, which barred such sentences without parole for juveniles.
- 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: Terrance Triple: [Terry Fox, givenName, Terrance]
Generated description
Terrance is the given first name of Terry Fox, the Canadian athlete and cancer research activist renowned for his Marathon of Hope.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terrance Target entity description: Terrance is the given first name of Terry Fox, the Canadian athlete and cancer research activist renowned for his Marathon of Hope.
-
A.
Terrance
Terrance is the given first name of Terry Sawchuk, the legendary Canadian Hall of Fame NHL goaltender.
-
B.
Terrance
Terrance is the given name of Terrance Dicks, a British writer best known for his work on the television series Doctor Who and its novelizations.
-
C.
Terance
Terance is the first name of Terance Mann, an American professional basketball player in the NBA.
-
D.
Tarell
Tarell is a masculine given name most notably borne by American playwright and screenwriter Tarell Alvin McCraney.
-
E.
Terrance Jamar Graham
Terrance Jamar Graham is an American man whose juvenile non-homicide life sentence led to the landmark U.S. Supreme Court decision in Graham v. Florida, which barred such sentences without parole for juveniles.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded573cba881908d6d9ac570a64e5f |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650c41b081909cdadbaec472eee3 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66218cb88190b8c86b359abaa14c |
completed | May 8, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66de57cc8190935d764d399f56f5 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 10, 2026, 1:54 a.m.