Triple
T18099091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan O'Bannon |
E433167
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
O'Bannon
O'Bannon is an Irish-origin surname borne by various notable individuals in fields such as film, sports, and politics.
|
E1305927
|
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: O'Bannon | Statement: [Dan O'Bannon, familyName, O'Bannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O'Bannon Context triple: [Dan O'Bannon, familyName, O'Bannon]
-
A.
Randle
Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
-
B.
Kobe Faison
Kobe Faison is one of the children of actor and comedian Donald Faison and his former partner Lisa Askey.
-
C.
Benjamin Everett Jordan
Benjamin Everett Jordan was a mid-20th-century Democratic U.S. Senator from North Carolina known for his influence on agricultural and textile policy.
-
D.
Onterio McCalebb
Onterio McCalebb is an American former college and professional football running back and return specialist, best known for his standout career at Auburn University and brief stints in the NFL and CFL.
-
E.
Scottie Thompson
Scottie Thompson is an American film and television actress known for roles in projects such as the sci-fi film "Skyline" and the series "NCIS."
- 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: O'Bannon Triple: [Dan O'Bannon, familyName, O'Bannon]
Generated description
O'Bannon is an Irish-origin surname borne by various notable individuals in fields such as film, sports, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: O'Bannon Target entity description: O'Bannon is an Irish-origin surname borne by various notable individuals in fields such as film, sports, and politics.
-
A.
Randle
Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
-
B.
Kobe Faison
Kobe Faison is one of the children of actor and comedian Donald Faison and his former partner Lisa Askey.
-
C.
Benjamin Everett Jordan
Benjamin Everett Jordan was a mid-20th-century Democratic U.S. Senator from North Carolina known for his influence on agricultural and textile policy.
-
D.
Onterio McCalebb
Onterio McCalebb is an American former college and professional football running back and return specialist, best known for his standout career at Auburn University and brief stints in the NFL and CFL.
-
E.
Scottie Thompson
Scottie Thompson is an American film and television actress known for roles in projects such as the sci-fi film "Skyline" and the series "NCIS."
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb521448190b97d2b2aa7e4d7e6 |
completed | April 19, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035da20f94819090c84d998426fc69 |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a036eced4d48190b09d210a5e301b60 |
completed | May 12, 2026, 6:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a036f5fe6a4819087423eeb221179e4 |
completed | May 12, 2026, 6:20 p.m. |
Created at: April 10, 2026, 10:27 a.m.