Triple
T805987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Schwartz |
E17433
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Emily Schwartz
Emily Schwartz is one of the children of American journalist and author Tony Schwartz.
|
E154189
|
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: Emily Schwartz | Statement: [Tony Schwartz, hasChild, Emily Schwartz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Schwartz Context triple: [Tony Schwartz, hasChild, Emily Schwartz]
-
A.
Adeena Sussman
Adeena Sussman is an American-Israeli cookbook author and food writer known for her vibrant, flavor-forward recipes and collaborations with prominent culinary figures.
-
B.
Leslie Vadasz
Leslie Vadasz is a Hungarian-American engineer and technology executive best known as one of Intel’s founding members and a key contributor to the development of the microprocessor and semiconductor memory.
-
C.
Beth Riesgraf
Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
-
D.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
-
E.
Gloria Rudisch
Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
- 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: Emily Schwartz Triple: [Tony Schwartz, hasChild, Emily Schwartz]
Generated description
Emily Schwartz is one of the children of American journalist and author Tony Schwartz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Schwartz Target entity description: Emily Schwartz is one of the children of American journalist and author Tony Schwartz.
-
A.
Adeena Sussman
Adeena Sussman is an American-Israeli cookbook author and food writer known for her vibrant, flavor-forward recipes and collaborations with prominent culinary figures.
-
B.
Leslie Vadasz
Leslie Vadasz is a Hungarian-American engineer and technology executive best known as one of Intel’s founding members and a key contributor to the development of the microprocessor and semiconductor memory.
-
C.
Beth Riesgraf
Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
-
D.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
-
E.
Gloria Rudisch
Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aac1142881908f6f78bfdb887930 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc5f8bc2081908f7d2435ce43fdc4 |
completed | March 8, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69acc6dbd80881908d640ee204ce9a12 |
completed | March 8, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc8199f508190a86c18ad9085d341 |
completed | March 8, 2026, 12:51 a.m. |
Created at: March 1, 2026, 7:38 p.m.