Triple
T12621911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin |
E301400
|
entity |
| Predicate | commonDiminutive |
P456
|
FINISHED |
| Object | Benji |
E940269
|
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: Benji | Statement: [Benjamin, commonDiminutive, Benji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benji Context triple: [Benjamin, commonDiminutive, Benji]
-
A.
Benji
chosen
Benji is a given name shared by various individuals, including historical and contemporary figures across different fields.
-
B.
Petey
Petey is a diminutive nickname commonly used for people named Peter.
-
C.
Shep
Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
-
D.
Shep
Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
-
E.
Norbit
Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed6f79881908872c644a9789f04 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:14 p.m.