Triple
T13008413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pig-Pen |
E322345
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Pigpen |
E322345
|
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: Pigpen | Statement: [Pig-Pen, hasAlias, Pigpen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pigpen Context triple: [Pig-Pen, hasAlias, Pigpen]
-
A.
Pigpen
Pigpen was the stage name of Ron "Pigpen" McKernan, a founding member, vocalist, and keyboardist of the Grateful Dead known for his bluesy style and charismatic stage presence.
-
B.
Pig-Pen
chosen
Pig-Pen is a recurring Peanuts character best known for being perpetually surrounded by a cloud of dust and dirt despite his otherwise good-natured personality.
-
C.
Fontella Bass
Fontella Bass was an American soul and R&B singer best known for her 1965 hit single "Rescue Me."
-
D.
Johnny Inkslinger
Johnny Inkslinger is a fictional bookkeeper and clerk in the Paul Bunyan tall tales, known for his prodigious record-keeping at Bunyan’s legendary logging camp.
-
E.
Dizzy Reed
Dizzy Reed is an American musician best known as the longtime keyboardist for the rock band Guns N' Roses.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9cf0108190b02f498c6ccc91f8 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c10bb13481909650432d5c1f5872 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:48 p.m.