Triple
T11581336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapuso Mo, Jessica Soho |
E274631
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
KMJS
KMJS is a popular Philippine television news magazine show hosted by veteran broadcast journalist Jessica Soho, known for its human-interest stories and in-depth features.
|
E934730
|
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: KMJS | Statement: [Kapuso Mo, Jessica Soho, shortName, KMJS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMJS Context triple: [Kapuso Mo, Jessica Soho, shortName, KMJS]
-
A.
KMJ
KMJ is the three-letter IATA airport code for Kumamoto Airport in Kumamoto Prefecture, Japan.
-
B.
MKJS
MKJS is the ICAO airport code for Sangster International Airport in Montego Bay, Jamaica.
-
C.
K_J
K_J is the standard symbol used to denote the Josephson constant, a fundamental physical constant relating voltage and frequency in superconducting Josephson junctions.
-
D.
KMBS
KMBS is the ICAO airport code for MBS International Airport, a commercial airport serving the Tri-Cities region of Michigan, USA.
-
E.
JK
JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
- 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: KMJS Triple: [Kapuso Mo, Jessica Soho, shortName, KMJS]
Generated description
KMJS is a popular Philippine television news magazine show hosted by veteran broadcast journalist Jessica Soho, known for its human-interest stories and in-depth features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KMJS Target entity description: KMJS is a popular Philippine television news magazine show hosted by veteran broadcast journalist Jessica Soho, known for its human-interest stories and in-depth features.
-
A.
KMJ
KMJ is the three-letter IATA airport code for Kumamoto Airport in Kumamoto Prefecture, Japan.
-
B.
MKJS
MKJS is the ICAO airport code for Sangster International Airport in Montego Bay, Jamaica.
-
C.
K_J
K_J is the standard symbol used to denote the Josephson constant, a fundamental physical constant relating voltage and frequency in superconducting Josephson junctions.
-
D.
KMBS
KMBS is the ICAO airport code for MBS International Airport, a commercial airport serving the Tri-Cities region of Michigan, USA.
-
E.
JK
JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904c51b881909e7be84c6f3de79f |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e7141b16d8819099002a009260a85a |
completed | April 21, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69e720fb192881909c129f93c8b88f42 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e7233efb6c81909dbf1aef080f5598 |
completed | April 21, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:38 p.m.