Triple
T13787296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WFLD |
E331295
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object |
Fox 32 Chicago
Fox 32 Chicago is a Fox-affiliated television station serving the Chicago metropolitan area with local news, sports, and entertainment programming.
|
E1062401
|
NE FINISHED |
How this triple was built (4 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: Fox 32 Chicago | Statement: [WFLD, branding, Fox 32 Chicago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fox 32 Chicago Context triple: [WFLD, branding, Fox 32 Chicago]
-
A.
Fox 5
Fox 5 is the on-air brand of WNYW, the Fox network’s flagship television station serving the New York City metropolitan area.
-
B.
La Fox station
La Fox station is a commuter rail stop in La Fox, Illinois, served by Metra's Union Pacific West Line.
-
C.
NBC 5 Chicago
NBC 5 Chicago is a major local television news station serving the Chicago metropolitan area as the NBC network affiliate.
-
D.
Chicago FSDO
Chicago FSDO is a local Federal Aviation Administration Flight Standards District Office responsible for overseeing aviation safety, certification, and regulatory compliance in the Chicago area.
-
E.
WLS-TV
WLS-TV is a major ABC-owned and operated television station serving the Chicago, Illinois media market.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fox 32 Chicago Triple: [WFLD, branding, Fox 32 Chicago]
Generated description
Fox 32 Chicago is a Fox-affiliated television station serving the Chicago metropolitan area with local news, sports, and entertainment programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fox 32 Chicago Target entity description: Fox 32 Chicago is a Fox-affiliated television station serving the Chicago metropolitan area with local news, sports, and entertainment programming.
-
A.
Fox 5
Fox 5 is the on-air brand of WNYW, the Fox network’s flagship television station serving the New York City metropolitan area.
-
B.
La Fox station
La Fox station is a commuter rail stop in La Fox, Illinois, served by Metra's Union Pacific West Line.
-
C.
NBC 5 Chicago
NBC 5 Chicago is a major local television news station serving the Chicago metropolitan area as the NBC network affiliate.
-
D.
Chicago FSDO
Chicago FSDO is a local Federal Aviation Administration Flight Standards District Office responsible for overseeing aviation safety, certification, and regulatory compliance in the Chicago area.
-
E.
WLS-TV
WLS-TV is a major ABC-owned and operated television station serving the Chicago, Illinois media market.
- F. None of above. chosen
Provenance (5 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07d872c81908f912263d8f7c80d |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b230fb448190bc16a1d8732ff76f |
completed | May 3, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b2c55e188190b0ea8fa400ff2dfc |
completed | May 3, 2026, 8:40 p.m. |
Created at: April 9, 2026, 10:11 p.m.