Triple
T8535066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zene Baker |
E202057
|
entity |
| Predicate | edited |
P1932
|
FINISHED |
| Object | Observe and Report |
E349296
|
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: Observe and Report | Statement: [Zene Baker, edited, Observe and Report]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Observe and Report Context triple: [Zene Baker, edited, Observe and Report]
-
A.
Observe and Report
chosen
Observe and Report is a dark comedy film about an unstable mall security guard, starring Seth Rogen and featuring Ray Liotta in a prominent supporting role.
-
B.
Observer-Reporter
The Observer-Reporter is a regional daily newspaper serving communities in southwestern Pennsylvania with local news, sports, and community coverage.
-
C.
Observation Point
Observation Point is a popular high-elevation overlook in Zion National Park offering expansive views over Zion Canyon and its surrounding cliffs.
-
D.
Main Observation Level
The Main Observation Level is the primary viewing platform of Toronto’s CN Tower, offering panoramic city and lake vistas to visitors.
-
E.
Observer
Observer is a behavioral design pattern that defines a one-to-many dependency between objects so that when one object changes state, all its dependents are automatically notified and updated.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a295c88190a432a060ee73f04e |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d8332cc819083c86e0dc58bcc37 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:17 p.m.