Triple
T15833959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Fang |
E383938
|
entity |
| Predicate | businessPartner |
P282
|
FINISHED |
| Object | Evan Moore |
E397777
|
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: Evan Moore | Statement: [Andy Fang, businessPartner, Evan Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Moore Context triple: [Andy Fang, businessPartner, Evan Moore]
-
A.
Evan Moore
chosen
Evan Moore is an entrepreneur best known as one of the co-founders of the food delivery platform DoorDash.
-
B.
Evan Martin
Evan Martin is a software engineer known for his work on the Ninja build system and contributions to large-scale C++ development tooling.
-
C.
Evan Mast
Evan Mast is an American musician and producer best known as one half of the electronic duo Ratatat and for his production work with prominent hip-hop artists.
-
D.
Evan McPherson
Evan McPherson is an American football placekicker in the NFL, best known for his clutch postseason performances with the Cincinnati Bengals.
-
E.
Evan Roe
Evan Roe is an American actor best known for playing Jason McCord, the youngest son of the U.S. Secretary of State, on the political drama series "Madam Secretary."
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6670d48190a456581dd951f168 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a6d6308190ad57a51b380171a2 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 4:49 a.m.