Triple
T17692799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Temple |
E441075
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Black Tide |
—
|
NE NERFINISHED |
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: Black Tide | Statement: [Peter Temple, wrote, Black Tide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Tide Context triple: [Peter Temple, wrote, Black Tide]
-
A.
Black Tide
chosen
Black Tide is a crime novel by Australian author Peter Temple, featuring his recurring character Jack Irish in a gritty, Melbourne-set mystery.
-
B.
The Rising Tide
The Rising Tide is a song by American rock band The Killers from their album "Battle Born."
-
C.
Ebb Tide
Ebb Tide is a 1932 film featuring American actress Frances Farmer in one of her early notable screen roles.
-
D.
Ocean of Storms
Ocean of Storms is a vast lunar mare on the Moon’s near side, notable as the landing region of several Apollo missions and characterized by its dark basaltic plains.
-
E.
The Tide
The Tide is a common shorthand for the University of Alabama’s storied Crimson Tide athletic programs, especially its powerhouse college football team.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47153a5c8819095c36fd414167fb1 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:03 a.m.