Triple
T14877003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michele Mulroney |
E349892
|
entity |
| Predicate | coDirectorOf |
P17194
|
FINISHED |
| Object | Paper Man |
E821562
|
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: Paper Man | Statement: [Michele Mulroney, coDirectorOf, Paper Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paper Man Context triple: [Michele Mulroney, coDirectorOf, Paper Man]
-
A.
Paper Man
chosen
Paper Man is a 2009 independent dramedy film about a struggling writer who befriends a young girl while grappling with his imaginary superhero companion.
-
B.
Perfect Man
The Perfect Man is a central Sufi metaphysical concept describing the fully realized human who perfectly reflects divine attributes and serves as the spiritual axis of creation.
-
C.
Perfect Man
Perfect Man is a short story by J. G. Ballard that explores themes of identity, consumerism, and the commodification of human perfection.
-
D.
One Man
One Man is a one-man stage play by Steven Berkoff that showcases his intense, physical performance style and darkly comic monologues.
-
E.
One Man
One Man is a solo album by British bassist and vocalist Mark King, best known as the frontman of the jazz-funk band Level 42.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72ac9f6481908f7b4f63a11fe16c |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 1:55 a.m.