Triple
T9248771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert A. Hauptman |
E222263
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Diana Hauptman |
E789255
|
NE FINISHED |
How this triple was built (2 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: Diana Hauptman | Statement: [Herbert A. Hauptman, hasChild, Diana Hauptman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Hauptman Context triple: [Herbert A. Hauptman, hasChild, Diana Hauptman]
-
A.
Carla Hauptman
chosen
Carla Hauptman is the daughter of Nobel Prize–winning mathematician and crystallographer Herbert A. Hauptman.
-
B.
Diana Gettas
Diana Gettas is known as the former wife of Canadian screenwriter and director Paul Haggis.
-
C.
Diana Goodman
Diana Goodman is the emotionally struggling suburban mother at the center of the rock musical "Next to Normal," whose battle with mental illness drives the show's narrative.
-
D.
Rebecca Hutman
Rebecca Hutman is a museum docent and Larry Daley’s love interest in the "Night at the Museum" film series.
-
E.
Elizabeth Hofmann
Elizabeth Hofmann is known as the spouse of American glass artist and sculptor Dan Dailey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f6d62c8190a1e33f1854767b47 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d178be71188190bb9bdb719dd4d12d |
completed | April 4, 2026, 8:46 p.m. |
Created at: March 30, 2026, 7:31 p.m.