Triple
T10541357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalie Goodman |
E248701
|
entity |
| Predicate | hasBrother |
P363
|
FINISHED |
| Object | Gabe Goodman |
E230548
|
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: Gabe Goodman | Statement: [Natalie Goodman, hasBrother, Gabe Goodman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabe Goodman Context triple: [Natalie Goodman, hasBrother, Gabe Goodman]
-
A.
Gabe Goodman
chosen
Gabe Goodman is a central character in the rock musical "Next to Normal," representing the lingering presence and emotional impact of a family's lost son.
-
B.
Gabe Plotkin
Gabe Plotkin is an American hedge fund manager and investor best known as the founder of Melvin Capital Management and a co-owner of the NBA’s Charlotte Hornets.
-
C.
Gabe Meyer
Gabe Meyer is the son of Stephenie Meyer, the bestselling author of the Twilight series.
-
D.
Mike Gabriel
Mike Gabriel is an American animator and film director best known for his work on several Walt Disney Animation Studios features, including co-directing "The Rescuers Down Under."
-
E.
Joel Goodman
Joel Goodman is a film editor known for his work on the movie "The Abyss."
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5918648190b16c2d1bc1bf015f |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b23b2988190b536d5ecb76298ff |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:32 p.m.