Triple
T1518703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Iger |
E32176
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Amanda Iger
Amanda Iger is one of the children of longtime Disney CEO and media executive Bob Iger.
|
E174166
|
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: Amanda Iger | Statement: [Bob Iger, hasChild, Amanda Iger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Iger Context triple: [Bob Iger, hasChild, Amanda Iger]
-
A.
Michelle Sarandos
Michelle Sarandos is the wife of Netflix co-CEO and chief content officer Ted Sarandos.
-
B.
Laura Arrillaga-Andreessen
Laura Arrillaga-Andreessen is an American philanthropist, author, and Stanford University lecturer known for her work in strategic philanthropy and impact-driven giving.
-
C.
Ari Emanuel
Ari Emanuel is a prominent American talent agent and entertainment executive, best known as the CEO of Endeavor and a major power broker in Hollywood.
-
D.
Donna Zuckerberg
Donna Zuckerberg is a classicist, writer, and editor-in-chief of the online journal Eidolon, known for her work on how the classics are used in contemporary culture and online misogyny.
-
E.
Shelli Bettman
Shelli Bettman is the wife of longtime National Hockey League commissioner Gary Bettman.
- 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: Amanda Iger Triple: [Bob Iger, hasChild, Amanda Iger]
Generated description
Amanda Iger is one of the children of longtime Disney CEO and media executive Bob Iger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanda Iger Target entity description: Amanda Iger is one of the children of longtime Disney CEO and media executive Bob Iger.
-
A.
Michelle Sarandos
Michelle Sarandos is the wife of Netflix co-CEO and chief content officer Ted Sarandos.
-
B.
Laura Arrillaga-Andreessen
Laura Arrillaga-Andreessen is an American philanthropist, author, and Stanford University lecturer known for her work in strategic philanthropy and impact-driven giving.
-
C.
Ari Emanuel
Ari Emanuel is a prominent American talent agent and entertainment executive, best known as the CEO of Endeavor and a major power broker in Hollywood.
-
D.
Donna Zuckerberg
Donna Zuckerberg is a classicist, writer, and editor-in-chief of the online journal Eidolon, known for her work on how the classics are used in contemporary culture and online misogyny.
-
E.
Shelli Bettman
Shelli Bettman is the wife of longtime National Hockey League commissioner Gary Bettman.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907ed44ac8190953e428c831e24df |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad294d01c48190bb2f49ad4f1b0a1a |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad2a275938819090db4d9ac7274a4d |
completed | March 8, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2a9e50888190bab83785f11135ea |
completed | March 8, 2026, 7:51 a.m. |
Created at: March 4, 2026, 7:26 p.m.