Triple
T20068890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Liberman |
E499681
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mark Liberman |
—
|
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: Mark Liberman | Statement: [Mark Liberman, name, Mark Liberman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Liberman Context triple: [Mark Liberman, name, Mark Liberman]
-
A.
Mark Liberman
chosen
Mark Liberman is an American linguist known for his work in phonetics, corpus linguistics, and for co-founding the influential Language Log blog.
-
B.
Dan Jurafsky
Dan Jurafsky is a prominent computational linguist and professor known for his influential work in natural language processing and co-authoring the widely used textbook "Speech and Language Processing."
-
C.
Christopher Manning
Christopher Manning is a prominent computer scientist and linguist best known for his pioneering work in natural language processing and deep learning, and for co-leading the Stanford NLP Group.
-
D.
Chris Manning
Chris Manning is a member of the band Jellyfish, contributing to its distinctive power pop sound.
-
E.
Michael N. Marcus
Michael N. Marcus is a screenwriter best known for his work on the 1966 Western film "Duel at Diablo."
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664365ad0819089103b00d1cf8c9f |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:39 p.m.