Triple
T294815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESPN |
E6069
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
ESPNews
ESPNews is an American cable sports television channel owned by ESPN that focuses on sports news, highlights, and analysis.
|
E37939
|
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: ESPNews | Statement: [ESPN, hasPart, ESPNews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESPNews Context triple: [ESPN, hasPart, ESPNews]
-
A.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
-
B.
TechCrunch
TechCrunch is a leading technology news website and media platform known for its coverage of startups, Silicon Valley, and the tech industry.
-
C.
Reuters
Reuters is a major international news agency and media organization known for providing real-time news and financial information to outlets and markets worldwide.
-
D.
NSO
NSO is the commonly used abbreviation for the National Symphony Orchestra, a major American orchestra based in Washington, D.C.
-
E.
Science Times
Science Times is the science-focused section of The New York Times that covers developments and insights in fields such as medicine, technology, space, and the environment.
- 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: ESPNews Triple: [ESPN, hasPart, ESPNews]
Generated description
ESPNews is an American cable sports television channel owned by ESPN that focuses on sports news, highlights, and analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ESPNews Target entity description: ESPNews is an American cable sports television channel owned by ESPN that focuses on sports news, highlights, and analysis.
-
A.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
-
B.
TechCrunch
TechCrunch is a leading technology news website and media platform known for its coverage of startups, Silicon Valley, and the tech industry.
-
C.
Reuters
Reuters is a major international news agency and media organization known for providing real-time news and financial information to outlets and markets worldwide.
-
D.
NSO
NSO is the commonly used abbreviation for the National Symphony Orchestra, a major American orchestra based in Washington, D.C.
-
E.
Science Times
Science Times is the science-focused section of The New York Times that covers developments and insights in fields such as medicine, technology, space, and the environment.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e978420881908488df342a7d5e90 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a5d514388190ac0f748a406ae43e |
completed | March 1, 2026, 2:35 a.m. |
| NEDg | Description generation | batch_69a3a63b33408190bea3a099165d1233 |
completed | March 1, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3a69b4e488190ae092d6989c75556 |
completed | March 1, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.