Triple
T20045567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Beach |
E497548
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Adam |
—
|
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: Adam | Statement: [Adam Beach, givenName, Adam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Context triple: [Adam Beach, givenName, Adam]
-
A.
Adam
chosen
Adam is a masculine given name of Hebrew origin, commonly used in many cultures and languages.
-
B.
Adam
Adam is the reanimated creature who serves as the central monster figure in the horror film "I, Frankenstein."
-
C.
Adam
Adam is a character in the film "The City of Your Final Destination," involved in the story surrounding a biographer's attempt to secure authorization to write about a deceased novelist.
-
D.
Adam
Adam is a highly advanced, lifelike android who plays a central role in Ian McEwan’s novel "Machines Like Me," exploring themes of artificial intelligence, morality, and human relationships.
-
E.
Adam
Adam is the first human in Abrahamic religious traditions, whose disobedience in Eden is believed to have introduced sin into the human condition.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632a5e888190ade41657ffd057f6 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:37 p.m.