Triple
T12132947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Haldeman |
E288978
|
entity |
| Predicate | hasWritten |
P2831
|
FINISHED |
| Object | Camouflage |
E963986
|
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: Camouflage | Statement: [Joe Haldeman, hasWritten, Camouflage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camouflage Context triple: [Joe Haldeman, hasWritten, Camouflage]
-
A.
Camouflage
"Camouflage" is a song by the American rock band Three Days Grace from their album "Human."
-
B.
Camouflage
chosen
Camouflage is a science fiction novel by Joe Haldeman that explores shape-shifting aliens, identity, and humanity across centuries.
-
C.
Camouflage
Camouflage is a 1981 funk and soul album by the band Rufus, showcasing their smooth grooves and tight musicianship during the later phase of their career.
-
D.
dazzle camouflage
Dazzle camouflage is a naval ship paint scheme of bold, contrasting geometric patterns designed to confuse enemy rangefinders and make it difficult to estimate a vessel’s speed and heading.
-
E.
Universal Camouflage Pattern
The Universal Camouflage Pattern was a pixelated digital camouflage design used by the U.S. Army in the 2000s, intended as a one-pattern-fits-all solution for multiple environments but later criticized for its poor effectiveness.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158b34648190b5eecdf9b07fbb3f |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a79dd148190835c2679fb2df3b1 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.