Triple
T21862825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Carolla |
E539810
|
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 Carolla, givenName, Adam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Context triple: [Adam Carolla, 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 a common surname of Scottish and English origin, borne by various notable individuals including architects, politicians, and artists.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63beb00819092b8ec3a8ef55a39 |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.