Triple
T14414713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vern Damico |
E357418
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Norman Mailer |
E8598
|
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: Norman Mailer | Statement: [Vern Damico, createdBy, Norman Mailer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Mailer Context triple: [Vern Damico, createdBy, Norman Mailer]
-
A.
Norman Mailer
chosen
Norman Mailer was a prominent American novelist, journalist, and essayist known for works like "The Naked and the Dead" and for co-founding The Village Voice.
-
B.
Michael Mailer
Michael Mailer is an American film producer and director, known for his work on independent films and as the son of novelist Norman Mailer.
-
C.
John Buffalo Mailer
John Buffalo Mailer is an American writer, actor, and producer, known for his work in theater, film, and political commentary.
-
D.
Norris Church Mailer
Norris Church Mailer was an American novelist, memoirist, and former model and actress, best known for her autobiographical writings and for her long marriage to author Norman Mailer.
-
E.
Howard Fast
Howard Fast was an American novelist and screenwriter best known for his historical and politically charged works, including the novel that inspired the film "Spartacus."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552a75ec8190b966d509d315ca60 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.