Triple
T19076592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Engel |
E466920
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Beth Engel
Beth Engel is an individual known primarily as a relative of Max Engel.
|
E1356645
|
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: Beth Engel | Statement: [Max Engel, hasRelative, Beth Engel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Engel Context triple: [Max Engel, hasRelative, Beth Engel]
-
A.
Nessa Stein
Nessa Stein is the Anglo-Israeli heiress and businesswoman at the center of the political thriller series "The Honourable Woman," whose efforts to promote peace in the Middle East entangle her in complex international intrigue.
-
B.
Lotte Schwartz
Lotte Schwartz is a central character in the surreal comedy film "Being John Malkovich," portrayed as the emotionally conflicted wife of puppeteer Craig Schwartz.
-
C.
Julie Brecht
Julie Brecht is a supporting character in the thriller film "Disturbia," serving as the mother of the protagonist, Kale.
-
D.
Tillie Siegel
Tillie Siegel is a fictional character appearing in the film "A Family Affair."
-
E.
Helen Deutsch
Helen Deutsch was an American screenwriter best known for her work on classic mid-20th-century Hollywood films.
- 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: Beth Engel Triple: [Max Engel, hasRelative, Beth Engel]
Generated description
Beth Engel is an individual known primarily as a relative of Max Engel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beth Engel Target entity description: Beth Engel is an individual known primarily as a relative of Max Engel.
-
A.
Nessa Stein
Nessa Stein is the Anglo-Israeli heiress and businesswoman at the center of the political thriller series "The Honourable Woman," whose efforts to promote peace in the Middle East entangle her in complex international intrigue.
-
B.
Lotte Schwartz
Lotte Schwartz is a central character in the surreal comedy film "Being John Malkovich," portrayed as the emotionally conflicted wife of puppeteer Craig Schwartz.
-
C.
Julie Brecht
Julie Brecht is a supporting character in the thriller film "Disturbia," serving as the mother of the protagonist, Kale.
-
D.
Tillie Siegel
Tillie Siegel is a fictional character appearing in the film "A Family Affair."
-
E.
Helen Deutsch
Helen Deutsch was an American screenwriter best known for her work on classic mid-20th-century Hollywood films.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e49c7c8190b6ce7b918086b23c |
completed | April 20, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d36054588190918fbf7272a28a1a |
completed | May 14, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a05d440fcdc81908c26a8aed70ce7b7 |
completed | May 14, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d4f48fdc8190ad1607287e8fe304 |
completed | May 14, 2026, 1:58 p.m. |
Created at: April 10, 2026, 12:04 p.m.