Triple
T20230241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porter Moss |
E495497
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Porter Moss |
—
|
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: Porter Moss | Statement: [Porter Moss, name, Porter Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porter Moss Context triple: [Porter Moss, name, Porter Moss]
-
A.
Porter Moss
chosen
Porter Moss was a prominent Negro league pitcher best known for his standout performances with the Memphis Red Sox in the 1930s and early 1940s.
-
B.
Luke Mossman
Luke Mossman is an American guitarist best known as a member of the soul and rock band Nathaniel Rateliff & The Night Sweats.
-
C.
Porter Clough
Porter Clough is a steep, wooded valley and walking route in Sheffield, England, forming part of the scenic Porter Valley parkland.
-
D.
Eric Porter
Eric Porter was a distinguished English actor best known for his classical stage work and prominent roles in British television and film during the mid-20th century.
-
E.
John Porter
John Porter is a telecommunications executive best known as the longtime CEO who has led Belgium-based cable and telecom operator Telenet Group.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdce9d081909752a6a1e15283ba |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.