Triple
T8868055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerrald King Goldsmith |
E211068
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Joel Goldsmith |
E388014
|
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: Joel Goldsmith | Statement: [Jerrald King Goldsmith, child, Joel Goldsmith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Goldsmith Context triple: [Jerrald King Goldsmith, child, Joel Goldsmith]
-
A.
Joel Goldsmith
chosen
Joel Goldsmith was an American composer best known for his work on film and television scores, including the Stargate franchise.
-
B.
Donald Goldsmith
Donald Goldsmith is an American astronomer, science writer, and popularizer of cosmology known for making complex astrophysical concepts accessible to general audiences.
-
C.
Josh Goldsmith
Josh Goldsmith is an American screenwriter best known for co-writing popular romantic comedies, including the film "13 Going on 30."
-
D.
Joshua Goldstein
Joshua Goldstein is a political scientist best known for his influential work on international relations, war and peace studies, and global security.
-
E.
Neil Goldman
Neil Goldman is a recurring nerdy, socially awkward teenage character in the animated TV series "Family Guy," often portrayed as infatuated with Meg Griffin.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61241d048190aead14a8f5589856 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10771c3288190860875ebcc12103e |
completed | April 4, 2026, 12:43 p.m. |
Created at: March 30, 2026, 6:51 p.m.