Triple
T7137619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Old Secret Seven |
E166347
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Pam |
E644611
|
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: Pam | Statement: [Good Old Secret Seven, mainCharacter, Pam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pam Context triple: [Good Old Secret Seven, mainCharacter, Pam]
-
A.
Pam
Pam is a character in the 2008 Tyler Perry drama film "The Family That Preys," which explores themes of family, class, and betrayal.
-
B.
Pam
chosen
Pam is one of the core child detectives in Enid Blyton’s Secret Seven series of mystery-adventure books.
-
C.
Patty
Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
-
D.
Pam Rocks
Pam Rocks is a small group of rocky islets in British Columbia’s Howe Sound, known as important haul-out sites for harbor seals and seabirds.
-
E.
Pam Brady
Pam Brady is an American television and film writer and producer best known for her work on "South Park" and various comedy projects.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6939b788190929e92ff481f2ee4 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8e72bf081909bb63a4b6f2613df |
completed | March 28, 2026, 11:17 a.m. |
Created at: March 27, 2026, 2:45 p.m.