Triple
T9009011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Cross |
E215417
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Mr In-Between |
E771123
|
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: Mr In-Between | Statement: [Neil Cross, wrote, Mr In-Between]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr In-Between Context triple: [Neil Cross, wrote, Mr In-Between]
-
A.
Mr In-Between
chosen
Mr In-Between is a dark British crime thriller novel by Neil Cross that follows a professional hitman whose violent work life collides with his attempts at ordinary relationships.
-
B.
The Man Between
The Man Between is a 1953 British Cold War thriller film set in postwar Berlin, directed by Carol Reed and noted for its atmospheric cinematography and espionage-driven plot.
-
C.
In Between
"In Between" is a song by the American rock band Blue Collar.
-
D.
Everything in Between
"Everything in Between" is a 2010 studio album by the Los Angeles punk rock band No Age, known for its blend of noise, punk, and experimental indie sounds.
-
E.
Makhfi
Makhfi was the pen name of Mughal princess Zeb-un-Nissa, known for her Persian poetry and literary patronage in 17th-century India.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bed8588190afc9cbca12b75a3b |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9a11948190a43f60d0df71b1af |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:06 p.m.