Triple
T10020532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Damon |
E200598
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Stella Damon |
E159318
|
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: Stella Damon | Statement: [Matt Damon, hasChild, Stella Damon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Damon Context triple: [Matt Damon, hasChild, Stella Damon]
-
A.
Stella Damon
chosen
Stella Damon is one of the daughters of American actor and filmmaker Matt Damon.
-
B.
Stella Gregg
Stella Gregg is the daughter of American actor and director Clark Gregg and actress Jennifer Grey.
-
C.
Stella Freed
Stella Freed was the mother of entertainment lawyer Lee Eastman and a member of the family connected to the Eastman legal and artistic legacy.
-
D.
Dorothy Dorman
Dorothy Dorman was the mother of Scottish actor and musician David McCallum, known for his roles in "The Man from U.N.C.L.E." and "NCIS."
-
E.
Louise Dahl-Wolfe
Louise Dahl-Wolfe was a pioneering American fashion photographer renowned for her innovative use of natural light and location shooting, which helped redefine modern fashion imagery in the mid-20th century.
- 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_69d94ae0a9608190ab241b6a62fe807b |
completed | April 10, 2026, 7:09 p.m. |
Created at: March 30, 2026, 8:53 p.m.