Triple
T8242772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Chapter Two |
E192775
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dan Lin |
E83863
|
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: Dan Lin | Statement: [It Chapter Two, producer, Dan Lin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Lin Context triple: [It Chapter Two, producer, Dan Lin]
-
A.
Dan Lin
chosen
Dan Lin is a Taiwanese-American film producer and executive known for overseeing major franchises such as The Lego Movie series and various DC and Sherlock Holmes films.
-
B.
Andrew Adamson
Andrew Adamson is a New Zealand film director and screenwriter best known for co-directing the first two Shrek films and directing several adaptations in The Chronicles of Narnia series.
-
C.
Greg Yaitanes
Greg Yaitanes is an American television director and producer known for his work on high-profile series such as House of the Dragon and House.
-
D.
Matthew Hannam
Matthew Hannam is a Canadian film and television editor known for his work on acclaimed independent films and series.
-
E.
Dan Goor
Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb786f65708190a92ec282b280c813 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3521bfb48190935fe82a1f768adc |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:47 p.m.