Triple
T10020514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Damon |
E200598
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Damon |
E200598
|
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: Damon | Statement: [Matt Damon, familyName, Damon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damon Context triple: [Matt Damon, familyName, Damon]
-
A.
Damon
Damon is a character in the pastoral myth of Acis and Galatea, often portrayed as a shepherd whose role highlights themes of love, jealousy, and counsel.
-
B.
Damon
chosen
Damon is a surname most prominently associated with American actor, producer, and screenwriter Matt Damon and his family.
-
C.
Damon
Damon "Tuba Gooding Jr." Bryson is an American sousaphone player best known as the tuba player for The Roots, the house band for The Tonight Show Starring Jimmy Fallon.
-
D.
Grey Damon
Grey Damon is an American actor known for his prominent television roles, including starring in the firefighter drama series "Station 19."
-
E.
Damon Cross
Damon Cross is a charismatic and morally ambiguous music executive and love interest in the TV series "Empire."
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd777b208190ad75eac79eec0c2f |
completed | April 2, 2026, 1:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26ab241848190a97dea745f6d2324 |
completed | April 5, 2026, 1:59 p.m. |
Created at: March 30, 2026, 8:53 p.m.