Triple
T23368850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbie |
E593402
|
entity |
| Predicate | influencesCharacter |
P36788
|
FINISHED |
| Object | Jamie Fields |
—
|
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: Jamie Fields | Statement: [Abbie, influencesCharacter, Jamie Fields]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamie Fields Context triple: [Abbie, influencesCharacter, Jamie Fields]
-
A.
Jamie Fields
Jamie Fields is a central teenage character in the 2016 coming-of-age film "20th Century Women," navigating identity, relationships, and adulthood in late-1970s California.
-
B.
Jamie Fields
chosen
Jamie Fields is an actor known for working alongside Abbie as part of the same ensemble cast.
-
C.
Mary Field
Mary Field was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
-
D.
Mary Field
Mary Field was the mother of British engineer and steam turbine pioneer Charles Algernon Parsons.
-
E.
Alexis Fields
Alexis Fields is an American actress known for her roles in television series such as "Moesha," "Sister, Sister," and "Keenan & Kel."
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aed374819097d38f51894bee44 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.