Triple
T10465602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Fidelity |
E246785
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Robyn Goodman |
E152523
|
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: Robyn Goodman | Statement: [High Fidelity, producer, Robyn Goodman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robyn Goodman Context triple: [High Fidelity, producer, Robyn Goodman]
-
A.
Robyn Goodman
chosen
Robyn Goodman is an American theater producer best known for her influential work in developing and producing successful Broadway and Off-Broadway shows.
-
B.
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.
-
C.
Diana Goodman
Diana Goodman is known as the wife of Dan Goodman.
-
D.
Natalie Goodman
Natalie Goodman is a central teenage character in the rock musical "Next to Normal," grappling with the emotional fallout of her mother's mental illness and her family's dysfunction.
-
E.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092d6d408190b6bda4d7ced4601e |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc5c26a88190aab4a590c20191a3 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:19 p.m.