Triple
T18523950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Lopez-Fitzgerald |
E452664
|
entity |
| Predicate | hasEnemy |
P4675
|
FINISHED |
| Object | Beth Wallace |
—
|
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: Beth Wallace | Statement: [Luis Lopez-Fitzgerald, hasEnemy, Beth Wallace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Wallace Context triple: [Luis Lopez-Fitzgerald, hasEnemy, Beth Wallace]
-
A.
Beth Wallace
chosen
Beth Wallace is a fictional character from the soap opera "Passions," known for her obsessive and antagonistic relationship with Luis Lopez-Fitzgerald and Sheridan Crane.
-
B.
Amy Wallace
Amy Wallace is a fictional character from the 1990 crime thriller film "Internal Affairs."
-
C.
Amy Wallace
Amy Wallace is an American writer and editor known for her work in nonfiction and for collaborating on books related to popular culture and unusual phenomena.
-
D.
Kimberly Wallace
Kimberly Wallace is the sweet, wealthy, and unsuspecting young bride-to-be in the romantic comedy film "My Best Friend's Wedding."
-
E.
Lindsay Tarpley
Lindsay Tarpley is an American former soccer midfielder and forward best known for her role on the U.S. women’s national team, with which she won two Olympic gold medals.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533908b0c81908725baf828aa46ff |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.