Triple
T49448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Francona |
E972
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Terrence
Terrence is the given first name of Terry Francona, a prominent American Major League Baseball manager and former player.
|
E12634
|
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: Terrence | Statement: [Terry Francona, givenName, Terrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrence Context triple: [Terry Francona, givenName, Terrence]
-
A.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
B.
Timothy
Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
-
C.
Cedric Maxwell
Cedric Maxwell is a former NBA forward best known for his key role in the Boston Celtics’ 1981 and 1984 championship teams and for earning the 1981 NBA Finals MVP award.
-
D.
Clifton Collins Jr.
Clifton Collins Jr. is an American character actor known for his versatile roles in films and television series such as "Capote," "Traffic," and "Westworld."
-
E.
Harold
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
- 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: Terrence Triple: [Terry Francona, givenName, Terrence]
Generated description
Terrence is the given first name of Terry Francona, a prominent American Major League Baseball manager and former player.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terrence Target entity description: Terrence is the given first name of Terry Francona, a prominent American Major League Baseball manager and former player.
-
A.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
B.
Timothy
Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
-
C.
Cedric Maxwell
Cedric Maxwell is a former NBA forward best known for his key role in the Boston Celtics’ 1981 and 1984 championship teams and for earning the 1981 NBA Finals MVP award.
-
D.
Clifton Collins Jr.
Clifton Collins Jr. is an American character actor known for his versatile roles in films and television series such as "Capote," "Traffic," and "Westworld."
-
E.
Harold
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24af3e4a88190abe2f0c5a0e83ff3 |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29176de5c819086e1cfec0a23d9d7 |
completed | Feb. 28, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69a291e8a54081909f9377d7decca7d0 |
completed | Feb. 28, 2026, 6:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2927e410c81909879207d8b25a895 |
completed | Feb. 28, 2026, 7 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.