Triple
T18099929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marv Murchins |
E433187
|
entity |
| Predicate | hasFirstName |
P17
|
FINISHED |
| Object | Marv |
E861745
|
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: Marv | Statement: [Marv Murchins, hasFirstName, Marv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marv Context triple: [Marv Murchins, hasFirstName, Marv]
-
A.
Marv
Marv is an ancient city in present-day Turkmenistan that was a major Silk Road hub and one of the great cultural and commercial centers of the Islamic world.
-
B.
Marv
chosen
Marv is a masculine given name, often used as a shortened form of Marvin.
-
C.
Marv Won
Marv Won is a Detroit-based underground hip-hop artist and producer known for his sharp lyricism and battle rap pedigree.
-
D.
Marvin
Marvin is the given first name of Pro Football Hall of Fame coach Marv Levy, known for leading the Buffalo Bills to four consecutive Super Bowl appearances.
-
E.
Marvin
Marvin is the given first name of the renowned American playwright and screenwriter Neil Simon.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb521448190b97d2b2aa7e4d7e6 |
completed | April 19, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035da20f94819090c84d998426fc69 |
completed | May 12, 2026, 5:04 p.m. |
Created at: April 10, 2026, 10:27 a.m.