Triple
T6101617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Overall |
E136010
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Overall |
E423763
|
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: Overall | Statement: [Park Overall, familyName, Overall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Overall Context triple: [Park Overall, familyName, Overall]
-
A.
Overall
chosen
Overall is an English-language surname borne by various individuals, including figures in sports, politics, and other fields.
-
B.
Total
Total is an American R&B girl group best known for their 1990s hits and frequent collaborations with Bad Boy Records artists.
-
C.
Total
Total is the former name of TotalEnergies, a major French multinational oil and gas company that has expanded into broader energy sectors.
-
D.
All Over
"All Over" is a popular Afrobeats love song by Nigerian singer Tiwa Savage that helped solidify her status as a leading figure in contemporary African pop music.
-
E.
General
A General is a high-ranking military officer, typically commanding large units or formations and serving as one of the senior leaders within an armed force.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3c073c81908248c799934d6fce |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254fbbf881908b7a3d07f0400387 |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.