Triple
T15099375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lola (Damn Yankees) |
E360621
|
entity |
| Predicate | triesToSeduce |
P91606
|
FINISHED |
| Object | Joe Boyd |
E894973
|
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: Joe Boyd | Statement: [Lola (Damn Yankees), triesToSeduce, Joe Boyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Boyd Context triple: [Lola (Damn Yankees), triesToSeduce, Joe Boyd]
-
A.
Joe Boyd
chosen
Joe Boyd is the middle-aged baseball fan in the musical "Damn Yankees" who sells his soul to the Devil to help his beloved Washington Senators defeat the New York Yankees.
-
B.
Walter Boyd
Walter Boyd is a former Jamaican international footballer best known for his prolific goal-scoring and charismatic playing style as a forward in the 1990s and early 2000s.
-
C.
Ernest Young
Ernest Young is a prominent American constitutional law scholar and professor at Duke University School of Law.
-
D.
Fred Searing
Fred Searing is the central protagonist of the comedy film "Hall Pass," around whom the story’s marital and midlife-crisis hijinks revolve.
-
E.
Ted Ross
Ted Ross was an American actor best known for his Tony- and Oscar-winning portrayal of the Cowardly Lion in the stage and film versions of "The Wiz."
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae230d148190a343ac92fb089902 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.