Triple
T8267262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morley Safer |
E193331
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Sarah Safer
Sarah Safer is the daughter of longtime CBS "60 Minutes" correspondent Morley Safer.
|
E722642
|
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: Sarah Safer | Statement: [Morley Safer, child, Sarah Safer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Safer Context triple: [Morley Safer, child, Sarah Safer]
-
A.
Alison Schapker
Alison Schapker is an American television writer and producer known for her work on series such as Alias, Lost, Fringe, and The Flash.
-
B.
Shari Weiser
Shari Weiser is a puppeteer and performer best known for physically portraying the character Hoggle in Jim Henson’s fantasy film "Labyrinth."
-
C.
Stephanie Saul
Stephanie Saul is an American investigative journalist and reporter known for her in-depth coverage of complex national issues for major U.S. newspapers.
-
D.
Sari Gilman
Sari Gilman is a film editor best known for her work on the Academy Award–winning documentary "Taxi to the Dark Side."
-
E.
Sara Aaronson
Sara Aaronson was the wife of American screenwriter Herman J. Mankiewicz, known for her connection to the prominent Hollywood writer behind "Citizen Kane."
- 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: Sarah Safer Triple: [Morley Safer, child, Sarah Safer]
Generated description
Sarah Safer is the daughter of longtime CBS "60 Minutes" correspondent Morley Safer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Safer Target entity description: Sarah Safer is the daughter of longtime CBS "60 Minutes" correspondent Morley Safer.
-
A.
Alison Schapker
Alison Schapker is an American television writer and producer known for her work on series such as Alias, Lost, Fringe, and The Flash.
-
B.
Shari Weiser
Shari Weiser is a puppeteer and performer best known for physically portraying the character Hoggle in Jim Henson’s fantasy film "Labyrinth."
-
C.
Stephanie Saul
Stephanie Saul is an American investigative journalist and reporter known for her in-depth coverage of complex national issues for major U.S. newspapers.
-
D.
Sari Gilman
Sari Gilman is a film editor best known for her work on the Academy Award–winning documentary "Taxi to the Dark Side."
-
E.
Sara Aaronson
Sara Aaronson was the wife of American screenwriter Herman J. Mankiewicz, known for her connection to the prominent Hollywood writer behind "Citizen Kane."
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794fc4208190b268bc69ff2b28a9 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6827e44c81909be6e426ab9226c7 |
completed | April 1, 2026, 6:47 p.m. |
| NEDg | Description generation | batch_69cd6d4fa17481909f28ad7eb9bceb42 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7df568788190a5a219baa65a6a19 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:50 p.m.