Triple
T16287533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porter |
E395427
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Porter Goss |
E143848
|
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: Porter Goss | Statement: [Porter, hasNotableBearer, Porter Goss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porter Goss Context triple: [Porter, hasNotableBearer, Porter Goss]
-
A.
Porter Goss
chosen
Porter Goss is an American politician and former CIA officer who served as Director of the Central Intelligence Agency and as a U.S. Representative from Florida.
-
B.
James R. Mitchell
James R. Mitchell is a film editor best known for his work on the comedy classic "The Naked Gun: From the Files of Police Squad!"
-
C.
Gary W. Gibbons
Gary W. Gibbons is a British theoretical physicist known for his influential work in general relativity, black hole physics, and quantum gravity.
-
D.
Don Hunter
Don Hunter is a composer known for writing the music to the song "I Don't Know Why."
-
E.
Phillip A. Talbert
Phillip A. Talbert is a federal prosecutor who serves as the United States Attorney for the Eastern District of California.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24915a5948190a11b8e83b7974dda |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f94ede48190835e8a0c6f5d0f19 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.