Triple
T5577067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9-1-1 |
E146345
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Todd Haberman
Todd Haberman is a film and television composer known for his work on the drama series "9-1-1."
|
E528701
|
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: Todd Haberman | Statement: [9-1-1, composer, Todd Haberman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Haberman Context triple: [9-1-1, composer, Todd Haberman]
-
A.
Tom Hubbard
Tom Hubbard is a screenwriter best known for his work on the Western film "Gun Battle at Monterey."
-
B.
Pete Nance
Pete Nance is an American professional basketball player known for his collegiate career at Northwestern and North Carolina and as the son of former NBA All-Star Larry Nance.
-
C.
Tory Bruno
Tory Bruno is an American aerospace engineer and executive best known as the president and CEO of United Launch Alliance, where he leads the company’s rocket launch and space transportation efforts.
-
D.
John Avlon
John Avlon is an American journalist, political commentator, and former editor-in-chief of The Daily Beast known for his centrist analysis and work on U.S. politics.
-
E.
Mike Fries
Mike Fries is an American business executive best known as the longtime chief executive officer of international cable and telecommunications company Liberty Global.
- 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: Todd Haberman Triple: [9-1-1, composer, Todd Haberman]
Generated description
Todd Haberman is a film and television composer known for his work on the drama series "9-1-1."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Todd Haberman Target entity description: Todd Haberman is a film and television composer known for his work on the drama series "9-1-1."
-
A.
Tom Hubbard
Tom Hubbard is a screenwriter best known for his work on the Western film "Gun Battle at Monterey."
-
B.
Pete Nance
Pete Nance is an American professional basketball player known for his collegiate career at Northwestern and North Carolina and as the son of former NBA All-Star Larry Nance.
-
C.
Tory Bruno
Tory Bruno is an American aerospace engineer and executive best known as the president and CEO of United Launch Alliance, where he leads the company’s rocket launch and space transportation efforts.
-
D.
John Avlon
John Avlon is an American journalist, political commentator, and former editor-in-chief of The Daily Beast known for his centrist analysis and work on U.S. politics.
-
E.
Mike Fries
Mike Fries is an American business executive best known as the longtime chief executive officer of international cable and telecommunications company Liberty Global.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020697fbc8190bd084d7896db3ab8 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02855acac8190bd00219aa9647e98 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c0366f37f0819097ca1b23b8ebecc2 |
completed | March 22, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c036ee4e1c8190b9e60655d72407ff |
completed | March 22, 2026, 6:37 p.m. |
Created at: March 22, 2026, 3:37 p.m.