Triple
T3549697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dakota Fanning |
E75080
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Steven Fanning
Steven Fanning is the father of American actresses Dakota and Elle Fanning and a former minor league baseball player.
|
E367990
|
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: Steven Fanning | Statement: [Dakota Fanning, parent, Steven Fanning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Fanning Context triple: [Dakota Fanning, parent, Steven Fanning]
-
A.
Jon Oberheide
Jon Oberheide is a cybersecurity entrepreneur and researcher best known as the co-founder and former CTO of Duo Security, a leading multi-factor authentication and zero-trust security company.
-
B.
Daniel Domscheit-Berg
Daniel Domscheit-Berg is a German technology activist and former WikiLeaks spokesperson who became known for his whistleblowing work and later critiques of the organization.
-
C.
Matthew Freund
Matthew Freund is a film editor known for his work on the comedy movie "Fist Fight."
-
D.
Brian Teta
Brian Teta is a television producer best known for serving as the executive producer of the daytime talk show "The View."
-
E.
Nick Mitzevich
Nick Mitzevich is an Australian art curator and museum director known for leading major national art institutions, including the National Gallery of Australia.
- 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: Steven Fanning Triple: [Dakota Fanning, parent, Steven Fanning]
Generated description
Steven Fanning is the father of American actresses Dakota and Elle Fanning and a former minor league baseball player.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven Fanning Target entity description: Steven Fanning is the father of American actresses Dakota and Elle Fanning and a former minor league baseball player.
-
A.
Jon Oberheide
Jon Oberheide is a cybersecurity entrepreneur and researcher best known as the co-founder and former CTO of Duo Security, a leading multi-factor authentication and zero-trust security company.
-
B.
Daniel Domscheit-Berg
Daniel Domscheit-Berg is a German technology activist and former WikiLeaks spokesperson who became known for his whistleblowing work and later critiques of the organization.
-
C.
Matthew Freund
Matthew Freund is a film editor known for his work on the comedy movie "Fist Fight."
-
D.
Brian Teta
Brian Teta is a television producer best known for serving as the executive producer of the daytime talk show "The View."
-
E.
Nick Mitzevich
Nick Mitzevich is an Australian art curator and museum director known for leading major national art institutions, including the National Gallery of Australia.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd38c8c8190a4591689ad57c998 |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38be9335c81909ba546a079134c8f |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c5cfb608190b451be14246d5481 |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38ce0e1688190a7ee3d079fb83f3d |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:20 p.m.