Triple
T7044593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Monte |
E163598
|
entity |
| Predicate | screenwriterFor |
P25235
|
FINISHED |
| Object | Cooley High |
E638789
|
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: Cooley High | Statement: [Eric Monte, screenwriterFor, Cooley High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cooley High Context triple: [Eric Monte, screenwriterFor, Cooley High]
-
A.
Cooley High
chosen
Cooley High is a 1975 coming-of-age comedy-drama film set in 1960s Chicago that follows a group of Black high school friends navigating adolescence, friendship, and hardship.
-
B.
In School
In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
-
C.
Hilltop
Hilltop is a residential community located within Gloucester Township in Camden County, New Jersey.
-
D.
Brooklyn South
Brooklyn South is an American police drama television series that follows the lives and cases of officers in a tough Brooklyn precinct.
-
E.
I School
The I School is the School of Information at the University of California, Berkeley, specializing in the study and design of information, data, and technology in their social context.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e23730888190a827ca5c61c4eed0 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794429b648190b6399a2447db07d0 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:37 p.m.