Triple
T3430497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Moon |
E72324
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Jeffrey Kluger |
E72325
|
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: Jeffrey Kluger | Statement: [Lost Moon, author, Jeffrey Kluger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Kluger Context triple: [Lost Moon, author, Jeffrey Kluger]
-
A.
Jeffrey Kluger
chosen
Jeffrey Kluger is an American science and technology journalist and author best known for co-writing the book about the Apollo 13 mission that inspired the film adaptation.
-
B.
Kurt Eichenwald
Kurt Eichenwald is an American journalist and author known for his investigative reporting and nonfiction books on corporate crime and financial scandals.
-
C.
Jess Rosenthal
Jess Rosenthal is a television producer best known for his executive production work on the hit mystery-comedy series "Only Murders in the Building."
-
D.
Jon Postel
Jon Postel was an American computer scientist and early Internet pioneer best known for overseeing key Internet protocols and numbering systems, helping shape the modern Internet’s technical foundations.
-
E.
Jeffrey Auerbach
Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9bd61908190a7bdd01f24334fc3 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547b1b3481909646bf36e8461ff4 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.