Triple
T9114064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Tildesley |
E218679
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Millions |
E200839
|
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: Millions | Statement: [Mark Tildesley, notableWork, Millions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millions Context triple: [Mark Tildesley, notableWork, Millions]
-
A.
Millions
chosen
Millions is a 2004 British family film directed by Danny Boyle, blending fantasy and drama as it follows two young brothers who discover a bag of stolen money just days before the UK switches to the euro.
-
B.
Millionaire
"Millionaire" is a 2004 R&B/hip-hop single by American singer Kelis featuring André 3000, known for its laid-back groove and distinctive production.
-
C.
Millionaire
"Millionaire" is a song by the English rock band Beady Eye, formed by former members of Oasis.
-
D.
A Billion
"A Billion" is a song featured on the soundtrack of the musical film "The King & I."
-
E.
Untold Millions
"Untold Millions" is a novel by American author Laura Z. Hobson, best known for exploring social issues and human relationships.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84c209c8190b082a9b8499bedf7 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0305eb6e081908edba0ddab25e209 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.