Triple
T3364619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Appel |
E70804
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Mona Simpson |
E62082
|
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: Mona Simpson | Statement: [Richard Appel, relative, Mona Simpson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mona Simpson Context triple: [Richard Appel, relative, Mona Simpson]
-
A.
Mona Simpson
chosen
Mona Simpson is an American novelist and professor known for works such as "Anywhere but Here" and for being the biological sister of Apple co-founder Steve Jobs.
-
B.
Jeri Southern
Jeri Southern was an American jazz and pop singer and pianist known for her intimate, emotionally nuanced vocal style in the 1950s.
-
C.
Margene Heffman
Margene Heffman is a fictional character from the television drama series "Big Love," known as the youngest and most free-spirited wife in a modern polygamist family.
-
D.
Diane Freeling
Diane Freeling is the mother and central protagonist in the 1982 horror film "Poltergeist," known for her desperate efforts to save her daughter from malevolent supernatural forces.
-
E.
Molly Smith
Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28467b88190bdf70b851bc8efa9 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b334332ce88190b898894286c166c2 |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:13 p.m.