Triple
T11832464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Saban |
E281426
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Saban
Saban is a surname most prominently associated with Nick Saban, the highly successful American college football coach.
|
E950170
|
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: Saban | Statement: [Nick Saban, familyName, Saban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saban Context triple: [Nick Saban, familyName, Saban]
-
A.
Sa'ban
The Sa'ban are an indigenous ethnic group of the highlands of Borneo, culturally and linguistically related to other interior Dayak peoples.
-
B.
Ernie Sabella
Ernie Sabella is an American actor and voice actor best known for voicing the warthog Pumbaa in Disney’s The Lion King franchise.
-
C.
DeBartolo
DeBartolo is the surname of a prominent American family known for its involvement in real estate development and professional sports ownership, including the San Francisco 49ers.
-
D.
Chips Moman
Chips Moman was an influential American record producer, songwriter, and studio owner known for shaping the sound of soul, country, and rock music in the 1960s and 1970s.
-
E.
Rod Abernethy
Rod Abernethy is an American composer and guitarist best known for his music for video games, television, and film.
- 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: Saban Triple: [Nick Saban, familyName, Saban]
Generated description
Saban is a surname most prominently associated with Nick Saban, the highly successful American college football coach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saban Target entity description: Saban is a surname most prominently associated with Nick Saban, the highly successful American college football coach.
-
A.
Sa'ban
The Sa'ban are an indigenous ethnic group of the highlands of Borneo, culturally and linguistically related to other interior Dayak peoples.
-
B.
Ernie Sabella
Ernie Sabella is an American actor and voice actor best known for voicing the warthog Pumbaa in Disney’s The Lion King franchise.
-
C.
DeBartolo
DeBartolo is the surname of a prominent American family known for its involvement in real estate development and professional sports ownership, including the San Francisco 49ers.
-
D.
Chips Moman
Chips Moman was an influential American record producer, songwriter, and studio owner known for shaping the sound of soul, country, and rock music in the 1960s and 1970s.
-
E.
Rod Abernethy
Rod Abernethy is an American composer and guitarist best known for his music for video games, television, and film.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62c95988190a45dbaa7001c8846 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16741d9a08190b6d6d5e59dfa41b8 |
completed | April 29, 2026, 2:04 a.m. |
| NEDg | Description generation | batch_69f17004fb908190a486c6718c5252cb |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1db11f0f48190832ca4f552f21751 |
completed | April 29, 2026, 10:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.