Triple
T14891655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving Wallace |
E359765
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | Amy Wallace |
E1131443
|
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: Amy Wallace | Statement: [Irving Wallace, coAuthor, Amy Wallace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Wallace Context triple: [Irving Wallace, coAuthor, Amy Wallace]
-
A.
Amy Wallace
Amy Wallace is a fictional character from the 1990 crime thriller film "Internal Affairs."
-
B.
Amy Wallace
chosen
Amy Wallace is an American writer and editor known for her work in nonfiction and for collaborating on books related to popular culture and unusual phenomena.
-
C.
Elena Wallace
Elena Wallace is a fictional character portrayed by Dominique Fishback in the 2023 science fiction action film "Transformers: Rise of the Beasts."
-
D.
T'yanna Wallace
T'yanna Wallace is an American entrepreneur and fashion designer best known as the daughter of late rap icon The Notorious B.I.G.
-
E.
Jean Wallace
Jean Wallace was an American film and television actress known for her roles in mid-20th-century Hollywood crime dramas and film noirs.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dbf1f5c8190ad4626d14e0d8109 |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 2:10 a.m.