Triple

T36708581
Position Surface form Disambiguated ID Type / Status
Subject JG Summit Holdings E906731 entity
Predicate keyPerson P256 FINISHED
Object Lance Gokongwei
Lance Gokongwei is a prominent Filipino businessman who leads the Gokongwei family’s diversified conglomerate and is recognized as one of the most influential corporate executives in the Philippines.
E906732 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: Lance Gokongwei | Statement: [JG Summit Holdings, keyPerson, Lance Gokongwei]
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: Lance Gokongwei
Triple: [JG Summit Holdings, keyPerson, Lance Gokongwei]
Generated description
Lance Gokongwei is a prominent Filipino businessman who leads the Gokongwei family’s diversified conglomerate and is recognized as one of the most influential corporate executives in the Philippines.

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_69f76e73ad108190a5241585f2303e9a completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c81113f88190af2bf0f86492a064 completed May 3, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde4fb6008190910eddfe98ca9d5c completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3ddf4cb9d88190b82672a6cda7a723 completed June 26, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a3de5dae0c08190a55ef51f1367a8d7 completed June 26, 2026, 2:37 a.m.
Created at: May 3, 2026, 4:12 p.m.