Triple
T7494782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pacifier |
E177095
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The Pacifier |
E177095
|
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: The Pacifier | Statement: [The Pacifier, title, The Pacifier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Pacifier Context triple: [The Pacifier, title, The Pacifier]
-
A.
The Pacifier
chosen
The Pacifier is a 2005 family action-comedy film starring Vin Diesel as a Navy SEAL assigned to protect a group of children.
-
B.
Three Men and a Baby
Three Men and a Baby is a 1987 American comedy film about three bachelors whose carefree lives are upended when they unexpectedly become caretakers of an abandoned infant.
-
C.
Tootsie
Tootsie is a 1982 American comedy film in which Dustin Hoffman plays an out-of-work actor who disguises himself as a woman to land a role, leading to unexpected fame and complications.
-
D.
Daddy Day Care
Daddy Day Care is a 2003 family comedy film about two unemployed fathers who start an improvised daycare center, leading to chaotic and humorous situations.
-
E.
"The Peg"
The Peg is a named entity whose specific nature or context is not clearly defined beyond its title.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57b5b4c8190ab839e6a98ee86ed |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c819f00819087fef27e4f4fdc1c |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:43 p.m.