Triple
T20636345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elissa Durwood Grodin |
E507088
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Elissa Durwood |
—
|
NE NERFINISHED |
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: Elissa Durwood | Statement: [Elissa Durwood Grodin, alsoKnownAs, Elissa Durwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elissa Durwood Context triple: [Elissa Durwood Grodin, alsoKnownAs, Elissa Durwood]
-
A.
Elissa Marshall
Elissa Marshall is the wife of Scott Marshall.
-
B.
Shara Nelson
Shara Nelson is a British singer and songwriter best known for her soulful vocals on early Massive Attack tracks, including the hit "Unfinished Sympathy."
-
C.
Elissa Durwood Grodin
chosen
Elissa Durwood Grodin is an American author known for writing mystery novels and children's books.
-
D.
Elissa Knight
Elissa Knight is an American voice actress best known for voicing the character EVE in Pixar's animated film "WALL-E."
-
E.
Elissa Steamer
Elissa Steamer is a pioneering American professional skateboarder known as one of the first prominent female street skaters and a recurring skater in the Tony Hawk's Pro Skater video game series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0f5a88819090c1516f5543f3d4 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.