Triple
T13517299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Hicks |
E322795
|
entity |
| Predicate | wroteScreenplayFor |
P15305
|
FINISHED |
| Object | Call Me Mr. Brown |
E1044863
|
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: Call Me Mr. Brown | Statement: [Scott Hicks, wroteScreenplayFor, Call Me Mr. Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Call Me Mr. Brown Context triple: [Scott Hicks, wroteScreenplayFor, Call Me Mr. Brown]
-
A.
Call Me Mr. Brown
chosen
Call Me Mr. Brown is an Australian crime drama film directed by Scott Hicks, based on the real-life 1971 Qantas bomb hoax extortion case.
-
B.
Give Me a Call
"Give Me a Call" is a song from John Legend's 2008 R&B/soul album "Evolver."
-
C.
Call the Man
"Call the Man" is a power ballad by Celine Dion, featured on her 1996 album *Falling into You*.
-
D.
Call Me Now
"Call Me Now" is a dance/electronic track by French DJ and producer Michael Calfan, known for its uplifting, melodic house style.
-
E.
Call Me
"Call Me" is a 1973 soul album by Al Green, widely regarded as one of his finest works and a classic of the genre.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa27f048190bed33a98e28c8d09 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d91e35881909a7184be0ad70c14 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.