Triple
T18112793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Then She Found Me |
E433521
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Ben |
—
|
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: Ben | Statement: [Then She Found Me, character, Ben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Context triple: [Then She Found Me, character, Ben]
-
A.
Ben
chosen
Ben is a common given name, typically used as a short form of names like Benedict or Benjamin.
-
B.
Ben
"Ben" is a 1972 American horror film about a boy who befriends a murderous rat, best known as the sequel to "Willard" and for its title song performed by Michael Jackson.
-
C.
Bob
Bob is a common masculine given name, often used as a short form of Robert.
-
D.
Bob
"Bob" is a television sitcom created by writer-producer Cheri Steinkellner.
-
E.
Brian
Brian is a masculine given name of Irish origin that has become widely used in English-speaking countries.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.