Triple
T3499735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Lovell |
E73935
|
entity |
| Predicate | coAuthorOf |
P2389
|
FINISHED |
| Object | Lost Moon |
E72324
|
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: Lost Moon | Statement: [Jim Lovell, coAuthorOf, Lost Moon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lost Moon Context triple: [Jim Lovell, coAuthorOf, Lost Moon]
-
A.
Lost Moon
chosen
Lost Moon is a non-fiction book by astronaut Jim Lovell and journalist Jeffrey Kluger that recounts the dramatic events and near-disastrous failure of the Apollo 13 lunar mission.
-
B.
To the Moon
"To the Moon" is a song featured on the album "All I Want Is You."
-
C.
Two Moon
Two Moon was a Northern Cheyenne chief and warrior who played a prominent leadership role against U.S. forces during the Great Sioux War of 1876.
-
D.
The Tragedy of the Moon
The Tragedy of the Moon is a collection of science essays by Isaac Asimov that explores astronomy, the Moon, and broader scientific and philosophical themes for a general audience.
-
E.
Court of the Moon
Court of the Moon was a central, theatrically illuminated plaza and fountain complex at the Golden Gate International Exposition on Treasure Island, celebrated for its dramatic nighttime light and water displays.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd4eb308190b84e84261ceec229 |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e67f68081909766d78ee24e9e6e |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:18 p.m.