Triple
T14191115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paid in Full (film) |
E351714
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Mitch |
E264687
|
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: Mitch | Statement: [Paid in Full (film), mainCharacter, Mitch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitch Context triple: [Paid in Full (film), mainCharacter, Mitch]
-
A.
Mitch
chosen
Mitch is a masculine given name, often used as a short form of Mitchell.
-
B.
Mike
Mike is a character in Terrence McNally’s play "The Lisbon Traviata," which explores themes of friendship, obsession, and gay relationships.
-
C.
Mike
Mike is the central con artist protagonist in David Mamet’s 1987 psychological thriller film "House of Games."
-
D.
Mike
Mike is the commonly used nickname for Robert Michael Bellotti.
-
E.
Mike
Mike is a common masculine given name, often used as a short form of Michael.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1946eb68819096adf3c16a39818d |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.