Triple
T19977151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Feeling |
E493720
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Pearl Woods |
—
|
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: Pearl Woods | Statement: [Good Feeling, writer, Pearl Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pearl Woods Context triple: [Good Feeling, writer, Pearl Woods]
-
A.
Pearl Woods
chosen
Pearl Woods was an American songwriter best known for co-writing the classic Etta James hit "Something’s Got a Hold on Me."
-
B.
Pearl Aday
Pearl Aday is an American rock singer and songwriter, best known as the daughter of rock musician Meat Loaf and for her work as a backing vocalist and solo artist.
-
C.
Pearle Wait
Pearle Wait was an American inventor and entrepreneur best known for creating the gelatin dessert brand Jell-O in the late 19th century.
-
D.
Sabine Woods
Sabine Woods is a protected natural conservation area in Groton, Massachusetts, known for its woodlands and wildlife habitat.
-
E.
Virginia Fields
Virginia Fields is known as the wife of legendary American football coach and broadcaster John Madden.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d1054e08190993b92b86ec5bbc8 |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:27 p.m.