Triple
T7142208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah Segan |
E166472
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Segan
Segan is the surname of American actor and filmmaker Noah Segan, known for his roles in independent films and collaborations with director Rian Johnson.
|
E644694
|
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: Segan | Statement: [Noah Segan, familyName, Segan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segan Context triple: [Noah Segan, familyName, Segan]
-
A.
Siebert
Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
-
B.
Dan Egan
Dan Egan is an ambitious, fast-talking political operative and campaign strategist on the television series "Veep."
-
C.
Jeff Jagodzinski
Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
-
D.
Jerry Seeman
Jerry Seeman was a prominent NFL official who served as a referee in multiple Super Bowls and later became the league’s Director of Officiating.
-
E.
Jim Bogios
Jim Bogios is an American drummer best known for his long-time role as the percussionist for the rock band Counting Crows.
- 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: Segan Triple: [Noah Segan, familyName, Segan]
Generated description
Segan is the surname of American actor and filmmaker Noah Segan, known for his roles in independent films and collaborations with director Rian Johnson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Segan Target entity description: Segan is the surname of American actor and filmmaker Noah Segan, known for his roles in independent films and collaborations with director Rian Johnson.
-
A.
Siebert
Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
-
B.
Dan Egan
Dan Egan is an ambitious, fast-talking political operative and campaign strategist on the television series "Veep."
-
C.
Jeff Jagodzinski
Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
-
D.
Jerry Seeman
Jerry Seeman was a prominent NFL official who served as a referee in multiple Super Bowls and later became the league’s Director of Officiating.
-
E.
Jim Bogios
Jim Bogios is an American drummer best known for his long-time role as the percussionist for the rock band Counting Crows.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e779ace48190be9c33750e60a79e |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a3502ed88190ac378a93891c8d9e |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a45e81bc8190bf4c47e3bb5fe077 |
completed | March 28, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4f074708190a5ce0a863ffd4f25 |
completed | March 28, 2026, 9:52 a.m. |
Created at: March 27, 2026, 2:45 p.m.